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Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland
Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland
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1.
A Boosting Method with Gaussian Mixtures as Base Learners in a Low-Dimension Space
机译:
在低维空间中以高斯混合物为基础学习者的增强方法
作者:
Martin-Gonzalez
;
S.I.
;
Lorenzo-Garcia
;
F.D.
;
Navarro-Mesa
;
J.L.
;
Ravelo-Garcia
;
A.G.
;
Quintana-Morales
;
P.J.
;
Hernandez-Perez
;
E.
会议名称:
《Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland》
关键词:
Gaussian processes;
learning (artificial intelligence);
matrix algebra;
pattern classification;
Gaussian mixture models;
TSB classification method;
average divergence measure;
linear dimensionality reduction;
low-dimension space;
nonweak base learners;
single-comp;
2.
Fast Factorization-Based Inference for Bayesian Harmonic Models
机译:
贝叶斯调和模型的基于快速分解的推理
作者:
Vincent
;
E.
;
Plumbley
;
M.D.
会议名称:
《Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland》
关键词:
Bayes methods;
Monte Carlo methods;
audio signal processing;
signal sampling;
Bayesian harmonic model;
Monte Carlo sampling;
audio signal analysis;
auditory motivated distortion measure;
fast factorization-based inference;
harmonic sinusoidal model;
inference algo;
3.
EKF Based Multiple Parameter Tuning System for a L2-SVM Classifier
机译:
基于EKF的L2-SVM分类器多参数调整系统
作者:
Tingting Mu
;
Nandi
;
A.K.
会议名称:
《Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland》
关键词:
Kalman filters;
nonlinear dynamical systems;
nonlinear filters;
parameter estimation;
pattern classification;
support vector machines;
EKF;
Lsub2/sub-SVM classifier;
Wisconsin diagnosis breast cancer data;
extended Kalman filter;
gradient descent method;
identi;
4.
Automatically Correcting Bias in Speaker Recognition Systems
机译:
自动校正说话人识别系统中的偏差
作者:
Solewicz
;
Y.A.
;
Koppel
;
M.
会议名称:
《Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland》
关键词:
learning (artificial intelligence);
speaker recognition;
automatic bias correction;
channel mismatch;
different speaking styles;
gender mismatch;
machine learning;
speaker recognition systems;
5.
Factorized Edgeworth-Expanded Gaussians in Topographicmap Formation
机译:
地形图形成中的因子化Edgeworth展开高斯
作者:
Van Hulle
;
M.M.
会议名称:
《Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland》
关键词:
Gaussian processes;
feature extraction;
image processing;
parameter estimation;
factorized Edgeworth-expanded Gaussian kernel;
image feature extraction;
parameter estimation;
topographic map formation;
6.
Novel Clustering Algorithm (RACAL) and a Partial Supervision Strategy for Classification
机译:
新型聚类算法(RACAL)和分类的部分监管策略
作者:
Salem
;
S.A.
;
Nandi
;
A.K.
会议名称:
《Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland》
关键词:
pattern classification;
pattern clustering;
RACAL algorithm;
data classification;
data distributions;
distance parameter;
partial supervision strategy;
radius based clustering algorithm;
validity index;
7.
Covers
机译:
盖子
会议名称:
《Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland》
关键词:
signal processing;
telecommunication;
3D imaging;
DOA;
H.264;
MIMO;
OFDM;
UWB;
VLSI;
acoustic noise reduction;
adaptive signal processing;
analogue circuits;
biometrics authentication;
blind separation;
blind signal processing;
channel estimation;
counting;
equalisation;
8.
Error Entropy, Correntropy and M-Estimation
机译:
误差熵,熵和M估计
作者:
Weifeng Liu
;
Pokharel
;
P.P.
;
Principe
;
J.C.
会议名称:
《Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland》
关键词:
Gaussian processes;
chaos;
entropy;
estimation theory;
minimisation;
regression analysis;
signal processing;
time series;
M-estimation;
chaotic time series;
correntropy;
error entropy cost function minimization;
non-Gaussian signal processing;
nonlinear Gaussian sign;
9.
Independently Coupled HMM Switching Classifier for a Bimodel Brain-Machine Interface
机译:
用于双模型脑机接口的独立耦合HMM开关分类器
作者:
Darmanjian
;
S.
;
Sung-Phil Kim
;
Nechyba
;
M.C.
;
Principe
;
J.
;
Wessberg
;
J.
;
NicolelisA
;
M.A.L.
会议名称:
《Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland》
关键词:
biology computing;
brain;
hidden Markov models;
neural nets;
neurophysiology;
pattern classification;
user interfaces;
vector quantisation;
HMM chain;
bimodel brain-machine interface;
hidden Markov model;
independently coupled HMM switching classifier;
multidimensio;
10.
On the Use of KPCA to Extract Artifacts in One-Dimensional Biomedical Signals
机译:
关于使用KPCA提取一维生物医学信号中的伪像
作者:
Teixeira
;
A.R.
;
Tome
;
A.M.
;
Lang
;
E.W.
;
Schachtner
;
R.
;
Stadlthanner
;
K.
会议名称:
《Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland》
关键词:
electro-oculography;
electroencephalography;
feature extraction;
medical image processing;
principal component analysis;
EEG;
EOG;
KPCA;
artifact extraction;
electroencephalogram;
electrooculogram;
feature extraction;
fixed-point algorithm;
kernel principal component;
11.
Independent Component Analysis of Simulated 2D Electrophoresis Gels
机译:
模拟2D电泳凝胶的独立成分分析
作者:
Correa
;
N.
;
Safavi
;
H.
;
Wei Xiong
;
Roy
;
A.
;
Adali
;
T.
;
Seillier-Moiseiwitsch
;
F.
会议名称:
《Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland》
关键词:
biochemistry;
bioelectric phenomena;
biological techniques;
electrophoresis;
independent component analysis;
molecular biophysics;
proteins;
wavelet transforms;
ANOVA approach;
analysis-of-variance approach;
differentially expressed protein detection;
independent c;
12.
Gradient and Fixed-Point Complex ICA Algorithms Based on Kurtosis Maximization
机译:
基于峰度最大化的梯度和定点复杂ICA算法
作者:
Hualiang Li
;
Adali
;
T.
会议名称:
《Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland》
关键词:
gradient methods;
independent component analysis;
optimisation;
signal processing;
Brandwood analyticity condition;
ICA;
complex-valued signal;
cost function;
fixed-point algorithm;
gradient algorithm;
independent component analysis;
kurtosis maximization;
13.
Spectrum Classification for Early Fault Diagnosis of the LP Gas Pressure Regulator Based on the Kullback-Leibler Kernel
机译:
基于Kullback-Leibler核的LP气压调节器早期故障诊断的频谱分类
作者:
Ishigaki
;
T.
;
Higuchi
;
T.
;
Watanabe
;
K.
会议名称:
《Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland》
关键词:
controllers;
fault diagnosis;
learning (artificial intelligence);
pressure control;
support vector machines;
Kullback-Leibler kernel;
LP gas pressure regulator;
fault diagnosis;
frequency spectrum classification;
inexpensive sensor system;
machine learning;
normali;
14.
Blind Separation of Positive Dependent Sources by Non-Negative Least-Correlated Component Analysis
机译:
基于非负最小相关分量分析的正相关源盲分离
作者:
Fa Yu Wang
;
Chong Yung Chi
;
Tsung Han Chan
;
Yue Wang
会议名称:
《Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland》
关键词:
blind source separation;
correlation methods;
independent component analysis;
matrix algebra;
blind source separation;
independent component analysis method;
low-complexity algebraic computation;
noise-free 2 x 2 mixing system;
nonnegative least-correlated compo;
15.
Adaptable Nonlinearity for Complex Maximization of Nongaussianity and a Fixed-Point Algorithm
机译:
非高斯复杂最大化的自适应非线性和不动点算法
作者:
Novey
;
M.
;
Adah
;
T.
会议名称:
《Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland》
关键词:
adaptive signal processing;
blind source separation;
optimisation;
statistical analysis;
adaptable nonlinearity;
adaptive CMN algorithm;
fixed-point algorithm;
nonGaussianity complex maximization;
noncircular sources blind separation;
source statistics;
16.
Using Multiresolution Space-Time-Frequency Features for the Classification Motor Imagery Eeg Recordings in a Brain Computer Interface Task
机译:
在脑计算机接口任务中使用多分辨率时空频率特征对运动图像Eeg记录进行分类
作者:
Firat
;
I.N.
;
Arica
;
S.
;
Tewfik
;
A.H.
会议名称:
《Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland》
关键词:
electroencephalography;
feature extraction;
medical signal processing;
principal component analysis;
signal classification;
time-frequency analysis;
user interfaces;
ERD pattern;
ERS pattern;
adaptive space time frequency analysis;
brain computer interface task;
br;
17.
Signal Theory for SVM Kernel Parameter Estimation
机译:
支持向量机内核参数估计的信号理论
作者:
Nelson
;
J.D.B.
;
Damper
;
R.I.
;
Gunn
;
S.R.
;
Guo
;
B.
会议名称:
《Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland》
关键词:
Fourier transforms;
parameter estimation;
signal classification;
support vector machines;
Fourier-based regularisation;
Paley-Wiener reproducing kernel;
Paley-Wiener space;
SVM kernel parameter estimation;
absolutely integrable loss function;
classification probl;
18.
Universal Context Tree PTH-Order Least Squares Prediction
机译:
通用上下文树PTH阶最小二乘预测
作者:
Singer
;
A.C.
;
Kozat
;
S.S.
;
Zeitler
;
G.C.
会议名称:
《Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland》
关键词:
least squares approximations;
piecewise linear techniques;
sequences;
trees (mathematics);
competitive algorithm framework;
first-order algorithm;
psupth/sup-order least square prediction;
piecewise linear model;
universal context tree;
19.
Underdetermined Blind Source Separation Based on Generalized Gaussian Distribution
机译:
基于广义高斯分布的欠定盲源分离
作者:
SangGyun Kim
;
Yoo
;
C.D.
会议名称:
《Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland》
关键词:
Gaussian distribution;
blind source separation;
minimisation;
Lp-norm;
blind source separation;
generalized Gaussian distribution;
l1-norm minimization algorithm;
signal-to-interference;
speech sources;
sub-Gaussian distributions;
super-Gaussian distributions;
20.
Generative Models that Discover Dependencies Between Data Sets
机译:
发现数据集之间依赖性的生成模型
作者:
Klami
;
A.
;
Kaski
;
S.
会议名称:
《Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland》
关键词:
Bayes methods;
pattern clustering;
sensor fusion;
Bayesian inference;
canonical correlation analysis;
data fusion;
dependency-seeking clustering model;
linear method;
21.
The Correntropy Mace Filter for Image Recognition
机译:
熵梅斯滤波器用于图像识别
作者:
Kyu-Hwa Jeong
;
Principe
;
J.C.
会议名称:
《Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland》
关键词:
correlation methods;
entropy;
filtering theory;
image recognition;
correntropy MACE filter;
face recognition;
higher order moment information;
image recognition;
minimum average correlation energy filter;
pattern recognition;
signal structure;
spatial matched filte;
22.
Constraint-Based, Transductive Learning for Distributed Ensemble Classification
机译:
基于约束的,归纳学习的分布式集成分类
作者:
Miller
;
D.J.
;
Pal
;
S.
;
Yue Wang
会议名称:
《Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland》
关键词:
information theory;
learning (artificial intelligence);
maximum likelihood estimation;
pattern classification;
UC Irvine machine learning repository;
constraint-based learning;
distributed ensemble classification;
ensemble statistical redundancy;
fixed untrained;
23.
A Joint Probabilistic-Deterministic Approach using Source-Filter Modeling of Speech Signal for Single Channel Speech Separation
机译:
基于语音信号源滤波建模的单通道语音分离联合概率确定性方法
作者:
Radfar
;
M.H.
;
Dansereau
;
R.M.
;
Sayadiyan
;
A.
会议名称:
《Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland》
关键词:
filtering theory;
maximum likelihood estimation;
probability;
signal reconstruction;
source separation;
spectral analysis;
speech processing;
excitation signal;
joint probabilistic-deterministic approach;
maximum likelihood estimation;
mixed speech log spectral ve;
24.
Subspace-Based Blind Identification of IIR Systems
机译:
基于子空间的IIR系统的盲识别
作者:
Gomez
;
J.C.
;
Baeyens
;
E.
会议名称:
《Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland》
关键词:
Hankel matrices;
IIR filters;
least mean squares methods;
singular value decomposition;
infinite impulse response;
least squares problem;
output Hankel matrix;
single input-multiple output systems;
singular value decomposition;
subspace-based blind identification;
25.
A Fast Algorithm for ICA Deduced from a Closed-Form Solution of Kurtosis Maximization
机译:
从峰度最大化的闭式解导出ICA的快速算法
作者:
Murakami
;
T.
;
Tanaka
;
T.
;
Ishida
;
Y.
会议名称:
《Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland》
关键词:
independent component analysis;
signal processing;
closed-form solution;
cost function;
independent component analysis;
kurtosis maximization;
signal processing;
two-signal case;
26.
Experimental Upper Bound for Convolutive Mixtures of Speech by Maximizing SIR
机译:
通过最大化SIR进行卷积语音混合的实验上限
作者:
Hild
;
K.E.
;
Jenssen
;
R.
会议名称:
《Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland》
关键词:
blind source separation;
speech processing;
blind source separation algorithm;
convolutive mixtures;
experimental upper bound;
linear feedforward structure;
signal-to-interference ratio;
speech audio mixtures;
27.
Online Detection of the Nature of Complex-Valued Signals
机译:
在线检测复数值信号的性质
作者:
Vayanos
;
P.
;
Su Lee Goh
;
Mandic
;
D.P.
会议名称:
《Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland》
关键词:
adaptive filters;
filtering theory;
gradient methods;
nonlinear filters;
signal detection;
complex-valued nonlinear adaptive filter;
complex-valued signal detection;
fully-complex nonlinear gradient descent algorithm;
learning algorithm;
split-complex nonlinear g;
28.
Separating Nonlinear Image Mixtures using a Physical Model Trained with ICA
机译:
使用ICA训练的物理模型分离非线性图像混合
作者:
Almeida
;
M.S.C.
;
Almeida
;
L.B.
会议名称:
《Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland》
关键词:
blind source separation;
document image processing;
independent component analysis;
inverse problems;
MISEP technique;
grayscale image;
halftoning process;
image quality;
inverse model;
minimal mutual information;
nonlinear ICA;
nonlinear image mixture separation;
p;
29.
Parallel Linear Hashtable Motion Estimation Algorithm
机译:
并行线性哈希表运动估计算法
作者:
Yunsong Wu
;
Megson
;
G.
会议名称:
《Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland》
关键词:
cryptography;
data compression;
motion estimation;
parallel algorithms;
search problems;
video coding;
encoding speed;
first-pass LHMEA;
group-of-picture;
macroblocks;
motion vectors;
parallel linear hashtable motion estimation algorithm;
parallel video compression;
30.
Automated Classification of Bipolar, Schizophrenic, and Healthy Individuals Via Multiple Spatial ICA Functional Brain `Modes''
机译:
通过多种空间ICA功能大脑“模式”自动分类双相,精神分裂症和健康个体
作者:
Calhoun
;
V.
;
Pearlson
;
G.
;
Kiehl
;
K.
会议名称:
《Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland》
关键词:
biomedical MRI;
brain;
diseases;
feature extraction;
image classification;
image segmentation;
independent component analysis;
medical image processing;
minimisation;
neurophysiology;
adaptive image threshold;
automated supervised classification algorithm;
bipolar d;
31.
Probabilistic Feature Transformation for Channel Robust Speaker Verification
机译:
概率特征转换用于通道鲁棒说话人验证
作者:
Man-Wai Mak
;
Kwok-Kwong Yiu
会议名称:
《Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland》
关键词:
probability;
speaker recognition;
stochastic processes;
telephone networks;
2000 NIST speaker recognition evaluation protocol;
blind stochastic feature transformation;
channel robust speaker verification;
probabilistic feature mapping;
probabilistic feature tran;
32.
Newton-Like Methods for Parallel Independent Component Analysis
机译:
牛顿式方法进行平行独立成分分析
作者:
Hao Shen
;
Huper
;
K.
会议名称:
《Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland》
关键词:
Newton method;
convergence of numerical methods;
independent component analysis;
matrix algebra;
FastICA;
Newton-like methods;
contrast function;
demixing matrix;
optimisation algorithm;
parallel ICA algorithms;
parallel independent component analysis;
quadratic co;
33.
Maximum Entropy Approximation for Kernel Machines
机译:
内核机器的最大熵近似
作者:
Ozertem
;
U.
;
Erdogmus
;
D.
会议名称:
《Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland》
关键词:
convex programming;
data analysis;
entropy;
pattern recognition;
signal processing;
convex optimization;
data nonlinear dependency modeling;
exploratory data analysis;
forward functions;
kernel machines;
kernel-based discriminative nonlinear projection;
maximum ent;
34.
Sparse Feature Extraction using Generalised Partial Least Squares
机译:
使用广义偏最小二乘的稀疏特征提取
作者:
Dhanjal
;
C.
;
Gunn
;
S.R.
;
Shawe-Taylor
;
J.
会议名称:
《Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland》
关键词:
feature extraction;
least squares approximations;
support vector machines;
Reuters corpus volume 1 dataset;
UCI datasets;
boosted latent features;
deflation scheme;
dual representations;
generalised partial least squares;
kernel boosting;
projection vectors;
sparse;
35.
Learning Minimum Volume Sets with Support Vector Machines
机译:
使用支持向量机学习最小体积集
作者:
Davenport
;
M.A.
;
Baraniuk
;
R.G.
;
Scott
;
C.D.
会议名称:
《Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland》
关键词:
pattern classification;
probability;
set theory;
support vector machines;
Euclidean space;
Neyman-Pearson classification;
artificial uniform data;
minimum volume set;
probability law;
support vector machine;
uniform distribution;
36.
Use Your Powers Wisely: Resource Allocation in Parallel Channels
机译:
明智地使用权力:并行通道中的资源分配
作者:
Jaramillo
;
S.
;
Pearlmutter
;
B.A.
会议名称:
《Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland》
关键词:
estimation theory;
resource allocation;
signal processing;
noisy observations;
parallel channels;
parameter space;
resource allocation;
signal dynamics;
signal estimation;
signal-to-noise ratio;
37.
A Hybrid Unsupervised Clustering Algorithm for Channel Equalization
机译:
信道均衡的混合无监督混合算法
作者:
Knidel
;
H.
;
Ferrari
;
R.
;
Duarte
;
L.T.
;
Suyama
;
R.
;
Attux
;
R.R.F.
;
de Castro
;
L.N.
;
Von Zuben
;
F.J.
;
Romano
;
J.M.T.
会议名称:
《Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland》
关键词:
equalisers;
iterative methods;
neural nets;
pattern clustering;
search problems;
telecommunication computing;
RABNET;
channel equalization;
data clustering;
hybrid unsupervised clustering algorithm;
iterated local search algorithm;
k-means algorithm;
neuro-immune ne;
38.
Automatic Image Classification by a Granular Computing Approach
机译:
通过粒度计算方法自动进行图像分类
作者:
Rizzi
;
A.
;
Del Vescovo
;
G.
会议名称:
《Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland》
关键词:
genetic algorithms;
graph theory;
image classification;
image colour analysis;
image segmentation;
image texture;
search problems;
automatic image classification;
genetic algorithm;
granular computing;
heuristic search procedure;
image classification system;
image t;
39.
Towards Adaptive Blind Extraction of Post-Nonlinearly Mixed Signals
机译:
后非线性混合信号的自适应盲提取
作者:
Leong
;
W.Y.
;
Mandic
;
D.P.
会议名称:
《Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland》
关键词:
adaptive signal processing;
blind source separation;
estimation theory;
adaptive blind extraction;
blind source extraction;
cost function;
kurtosis estimation;
post-nonlinearly mixed signals;
40.
Flexible ICA in Complex and Nonlinear Environment by Mutual Information Minimization
机译:
相互信息最小化在复杂和非线性环境中的灵活ICA
作者:
Vigliano
;
D.
;
Scarpiniti
;
M.
;
Parisi
;
R.
;
Uncini
;
A.
会议名称:
《Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland》
关键词:
independent component analysis;
large-scale systems;
minimisation;
nonlinear systems;
source separation;
complex domain;
complex environment;
flexible ICA;
independent component analysis;
mutual information minimization;
nonlinear complex functions;
nonlinear envir;
41.
Non-Negative Matrix Factorization for Note Onset Detection of Audio Signals
机译:
用于音频信号音符开始检测的非负矩阵分解
作者:
Wenwu Wang
;
Yuhui Luo
;
Chambers
;
J.A.
;
Sanei
;
S.
会议名称:
《Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland》
关键词:
audio signal processing;
matrix decomposition;
audio signals;
musical spectra;
nonnegative matrix factorization;
note onset detection;
42.
Exploring Ranklets Performances in Mammographic Mass Classification using Recursive Feature Elimination
机译:
使用递归特征消除探索乳腺X线摄影分类中的小排行表现
作者:
Masotti
;
M.
会议名称:
《Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland》
关键词:
image classification;
image resolution;
mammography;
medical image processing;
support vector machines;
transforms;
breast radiographic images;
gray-level intensity value;
image processing;
mammographic mass classification;
multiresolution approach;
orientation-sel;
43.
Classification of Hazelnut Kernels by Impact Acoustics
机译:
榛子仁的冲击声学分类
作者:
Kalkan
;
H.
;
Yardimci
;
Y.
会议名称:
《Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland》
关键词:
acoustic signal processing;
maximum likelihood estimation;
signal classification;
wavelet transforms;
automated hazelnut classification system;
empty kernels;
feature vector;
fully developed nuts;
hazelnut kernels;
impact acoustic signal decomposition;
maximum lik;
44.
Optimal Strategies for Mobile Robots Based on the Cross-Entropy Algorithm
机译:
基于交叉熵算法的移动机器人优化策略
作者:
Celeste
;
F.
;
Dambreville
;
F.
;
Le Cadre
;
J.-P.
会议名称:
《Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland》
关键词:
entropy;
filtering theory;
intelligent robots;
mobile robots;
optimal control;
optimisation;
path planning;
sensors;
bearing sensor;
intelligent mobile robot navigation optimization;
localization algorithm performance maximization;
map-based localization filter;
opt;
45.
Robust Optic Flow Computation with Support Vector Regression
机译:
支持向量回归的稳健光学流量计算
作者:
Colliez
;
J.
;
Dufrenois
;
F.
;
Hamad
;
D.
会议名称:
《Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland》
关键词:
edge detection;
image sequences;
regression analysis;
support vector machines;
linear regression problem;
optic flow estimation;
outlier identification;
support vector machine;
46.
Robust Diffusion Kernels for Optical Flowsmoothing
机译:
用于光流平滑的稳健扩散核
作者:
Doshi
;
A.
;
Bors
;
A.G.
会议名称:
《Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland》
关键词:
Gaussian processes;
Hessian matrices;
covariance matrices;
diffusion;
image sampling;
image sequences;
signal detection;
Gaussian process;
Hessian matrix;
alpha-trimmed mean;
anisotropic smoothing;
covariance matrix;
median statistics;
optical flow;
outlier rejection;
47.
Channel Shortening of Multi-Input Multi-Output Convolutive Systems with Binary Sources
机译:
具有二进制源的多输入多输出卷积系统的通道缩短
作者:
Papadimitriou
;
T.
;
Diamantaras
;
K.I.
会议名称:
《Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland》
关键词:
MIMO systems;
blind source separation;
convolution;
filtering theory;
pattern clustering;
Magged successor;
binary source signals;
blind separation;
channel shortening;
data clustering techniques;
filter;
lagged successor constellation;
multiinput multioutput convol;
48.
Comparison of Two Feature Extraction Methods Based on Maximization of Mutual Information
机译:
基于互信息最大化的两种特征提取方法的比较
作者:
Chumerin
;
N.
;
Van Hulle
;
M.M.
会议名称:
《Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland》
关键词:
feature extraction;
optimisation;
feature extraction methods;
mutual information maximization;
real-world data sets;
49.
A Hybrid Neural Network for Language Identification from Text
机译:
文本识别语言的混合神经网络
作者:
Bilcu
;
E.B.
;
Astola
;
J.
会议名称:
《Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland》
关键词:
natural language processing;
neural nets;
speech synthesis;
text analysis;
decision rule;
language identification;
language recognition;
neural network;
text-to-phoneme mapping;
50.
A Hybrid Metric Estimation/Learning Model for K-NN Classifier
机译:
K-NN分类器的混合指标估计/学习模型
作者:
Satonaka
;
T.
;
Uchimura
;
K.
会议名称:
《Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland》
关键词:
discrete cosine transforms;
face recognition;
feature extraction;
image classification;
learning (artificial intelligence);
parameter estimation;
K-nearest neighbor adaptive metric learning model;
K-nearest neighbor classifier;
Mahalanobis distance function;
asym;
51.
Active Bayesian Mixture Learning for Image Modeling and Segmentation using Lowlevel Features
机译:
主动贝叶斯混合学习,用于使用低级特征进行图像建模和分割
作者:
Constantinopoulos
;
C.
;
Likas
;
A.
会议名称:
《Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland》
关键词:
Bayes methods;
Gaussian processes;
computational complexity;
feature extraction;
image representation;
image segmentation;
learning (artificial intelligence);
Gaussian mixture model;
active Bayesian mixture learning;
image modeling;
image representation;
image segm;
52.
Ordinal Least Squares Support Vector Machines - A Discriminant Analysis Approach
机译:
有序最小二乘支持向量机-判别分析方法
作者:
Pelckmans
;
K.
;
Karsmakers
;
P.
;
Suykens
;
J.A.K.
;
De Moor
;
B.
会议名称:
《Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland》
关键词:
least squares approximations;
regression analysis;
support vector machines;
LS-SVM;
kernel machine;
least squares support vector machines;
linear discriminant analysis;
maximal margin;
nonlinear extension;
ordinal regression;
53.
Using Neural-Networks to Reduce Entity State Updates in Distributed Interactive Applications
机译:
使用神经网络减少分布式交互式应用程序中的实体状态更新
作者:
McCoy
;
A.
;
Ward
;
T.
;
McLoone
;
S.
;
Delaney
;
D.
会议名称:
《Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland》
关键词:
distributed processing;
groupware;
neural nets;
virtual reality;
computational complexity;
dead reckoning;
distributed interactive application;
entity state update;
network traffic;
neural network;
predictive contract mechanism;
remote entity modeling;
virtual reali;
54.
Adaptive Demosaicking using Multiple Neural Networks
机译:
使用多个神经网络的自适应去马赛克
作者:
Yangjing Long
;
Yizhen Huang
会议名称:
《Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland》
关键词:
cameras;
correlation methods;
image colour analysis;
image segmentation;
neural nets;
adaptive demosaicking;
color filter array;
digital cameras;
electronic sensor;
image processing pipeline;
learning;
multiple neural networks;
nonlinear spatial inter-pixel correlat;
55.
Super-Resolution using Neural Networks Based on the Optimal Recovery Theory
机译:
基于最优恢复理论的神经网络超分辨率
作者:
Yizhen Huang
;
Yangjing Long
会议名称:
《Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland》
关键词:
image resolution;
neural nets;
SR test image;
image processing;
neural network;
optimal recovery theory;
super resolution algorithm;
56.
Eukaryotic Protein Subcellular Localization Based on Local Pairwise Profile Alignment SVM
机译:
基于局部成对轮廓比对支持向量机的真核蛋白亚细胞定位
作者:
Jian Guo
;
Man-Wai Mak
;
Sun-Yuan Rung
会议名称:
《Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland》
关键词:
biology computing;
cellular biophysics;
feature extraction;
pattern classification;
proteins;
support vector machines;
Mercer condition;
PSI-BLAST;
amino acid composition;
eukaryotic protein subcellular localization;
feature vectors;
kernel matrix;
local pairwise pr;
57.
Gibbsboost: a Boosting Algorithm using a Sequential Monte Carlo Approach
机译:
Gibbsboost:使用顺序蒙特卡洛方法的加速算法
作者:
Nakada
;
Y.
;
Mouri
;
Y.
;
Hongo
;
Y.
;
Matsumoto
;
T.
会议名称:
《Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland》
关键词:
Bayes methods;
Monte Carlo methods;
statistical distributions;
Bayesian learning;
Gibbs distribution;
GibbsBoost;
boosting algorithm;
energy function;
loss function;
posterior distribution;
sequential Monte Carlo approach;
weaklearner sequence;
58.
Robust Volume Control Personalisation from on-Line Preference Feedback
机译:
通过在线偏好反馈实现可靠的音量控制个性化
作者:
Ypma
;
A.
;
de Vries
;
B.
;
Geurts
;
J.
会议名称:
《Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland》
关键词:
feedback;
hearing aids;
learning systems;
medical control systems;
robust control;
volume control;
hearing aid;
learning volume control;
online preference feedback;
robust volume control personalization;
59.
Convolutive Non-Negative Matrix Factorisation with a Sparseness Constraint
机译:
具有稀疏约束的卷积非负矩阵分解
作者:
OGrady
;
P.D.
;
Pearlmutter
;
B.A.
会议名称:
《Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland》
关键词:
audio signal processing;
convolution;
matrix decomposition;
signal representation;
sparse matrices;
spectral analysis;
transforms;
auditory data representation;
machine learning;
nonnegative matrix factorisation convolution;
signal processing;
sparseness constraint;
60.
Linear Program Differentiation for Single-Channel Speech Separation
机译:
单通道语音分离的线性程序差分
作者:
Pearlmutter
;
B.A.
;
Olsson
;
R.K.
会议名称:
《Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland》
关键词:
differentiation;
gradient methods;
linear programming;
matrix algebra;
signal representation;
speaker recognition;
constraint matrix;
gradient optimisation;
linear program differentiation;
linear programming;
signal processing;
single-channel speech separation;
spar;
61.
Towards Qualitative Assessment of Machine Learning Algorithms: Utilising Signal Modality Characterisation
机译:
机器学习算法的定性评估:利用信号模态表征
作者:
Mo Chen
;
Gautama
;
T.
;
Van Hulle
;
M.
;
Kuh
;
A.
;
Obradovic
;
D.
;
Mandic
;
D.
会议名称:
《Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland》
关键词:
adaptive filters;
learning (artificial intelligence);
vectors;
adaptive filter;
delay vector variance method;
machine learning algorithm;
qualitative assessment;
signal modality characterisation;
62.
Biclustering Gene Expression Profiles by Alternately Sorting with Weighted Correlated Coefficient
机译:
通过加权相关系数的交替排序使基因表达谱成簇
作者:
Li Teng
;
Lai-Wan Chan
会议名称:
《Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland》
关键词:
biology computing;
genetics;
pattern clustering;
sorting;
average correlation value;
correlated bicluster;
dominant set;
gene expression data biclustering;
gene expression profile;
sorting vector;
weighted correlated coefficient;
63.
MLSP Data Analysis Competition 2006: Denoising of Magnetoencephelographic Data
机译:
2006年MLSP数据分析比赛:磁电图数据的去噪
作者:
Redmond
;
S.J.
;
Heneghan
;
C.
会议名称:
《Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland》
关键词:
cognition;
data analysis;
magnetoencephalography;
medical computing;
MLSP data analysis;
filtering;
human cognition;
magnetoencephelographic data denoising;
phase shift;
preoperative functional brain mapping;
signal-to-interferenceoise ratio;
64.
Map Model Selection for Context Trees
机译:
上下文树的映射模型选择
作者:
Tjalkens
;
T.
;
Willems
;
F.
会议名称:
《Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland》
关键词:
Markov processes;
decision trees;
maximum likelihood estimation;
probability;
Markov model;
context tree model;
decision tree;
maximum a-posteriori probability model;
natural language modelling;
65.
A Novel Algorithm for Moving Objects Recognition Based on Sparse Bayesian Classification
机译:
基于稀疏贝叶斯分类的运动目标识别新算法
作者:
Lu Changhua
;
Chang Ningning
;
Fang Rui
;
Liu Chun
会议名称:
《Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland》
关键词:
Bayes methods;
computational complexity;
image classification;
image motion analysis;
object recognition;
computation complexity reduction;
kernel function;
moving object recognition;
sparse Bayesian classification;
66.
Bayesian Estimation of Time Delays Between Unevenly Sampled Signals
机译:
不均匀采样信号之间的时延贝叶斯估计
作者:
Harva
;
M.
;
Raychaudhury
;
S.
会议名称:
《Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland》
关键词:
Bayes methods;
Markov processes;
Monte Carlo methods;
delay estimation;
estimation theory;
signal sampling;
Bayesian estimation;
MCMC methods;
latent variable model;
posterior distribution;
time delays estimation;
unevenly sampled signals;
67.
A Least Absolute Bound Approach to ICA 驴 Application to the MLSP 2006 Competition
机译:
ICA驴应用于MLSP 2006竞赛的最小绝对方法
作者:
Lee
;
J.A.
;
Vrins
;
F.
;
Verleysen
;
M.
会议名称:
《Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland》
关键词:
blind source separation;
independent component analysis;
minimisation;
MLSP 2006 competition;
bounded sources blind extraction;
deflation algorithm;
independent component analysis;
least absolute bound approach;
least absolute bound minimization;
68.
Scale Estimation for Kernel-Based Classification
机译:
基于核的分类的尺度估计
作者:
Nasios
;
N.
;
Bors
;
A.G.
会议名称:
《Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland》
关键词:
Bayes methods;
gamma distribution;
learning (artificial intelligence);
pattern classification;
Bayesian statistics;
Gamma distribution;
K-nearest neighbourhood;
Shrodinger partial differential equation;
electromagnetic field;
kernel density estimation;
kernel scal;
69.
An Information Theoretic Perspective to Kernel K-Means
机译:
内核K均值的信息理论视角
作者:
Jenssen
;
R.
;
Eltoft
;
T.
会议名称:
《Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland》
关键词:
Bayes methods;
information theory;
mean square error methods;
pattern clustering;
probability;
Bayes-like clustering;
Parzen window;
Renyi entropy;
cluster probability density function;
information theory;
kernel K-means;
squared error divergence measure;
70.
A Fixed-Point Minimum Error Entropy Algorithm
机译:
定点最小误差熵算法
作者:
Seungju Han
;
Principe
;
J.
会议名称:
《Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland》
关键词:
adaptive systems;
least squares approximations;
minimum entropy methods;
recursive estimation;
Wiener solution;
adaptive system training;
convergence property;
fixed-point minimum error entropy algorithm;
forgetting factor;
kernel size;
recursive least squares;
sec;
71.
Designing a Multi Trial Classifier for EEG Signals: Classifying Rhythms Perceived
机译:
设计针对脑电信号的多重试验分类器:对感知的节奏进行分类
作者:
de Kruif
;
B.J.
;
Desain
;
P.
会议名称:
《Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland》
关键词:
electroencephalography;
medical signal processing;
probability;
signal classification;
average classification measurement;
brain dynamics;
multi trial EEG signal classifier;
rhythm classification;
signal classification probability;
72.
Wavelet Based Nonlinear Separation of Images
机译:
基于小波的图像非线性分离
作者:
Almeida
;
M.S.C.
;
Almeida
;
L.B.
会议名称:
《Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland》
关键词:
blind source separation;
document image processing;
image denoising;
wavelet transforms;
DSS;
noniterative procedure;
nonlinear denoising source separation;
nonlinear image mixture separation;
paper document;
wavelet transform;
73.
Online Learning with Kernels a New Approach for Sparsity Control Based on a Coherence Criterion
机译:
内核在线学习的一种基于相干性准则的稀疏控制新方法
作者:
Pothin
;
J.-B.
;
Richard
;
C.
会议名称:
《Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland》
关键词:
Hilbert spaces;
approximation theory;
computational complexity;
function approximation;
learning (artificial intelligence);
coherence criterion;
computationally efficient algorithm;
function approximation problem;
kernel Hilbert space method;
pattern classificati;
74.
Building Efficient Radial Basis Function Kernel Classifiers using Iterative Methods
机译:
使用迭代方法构建有效的径向基函数核分类器
作者:
Barsic
;
D.
;
Carmen
;
C.
;
Renjifo
;
C.
;
Norman
;
K.
;
Peacock
;
G.S.
会议名称:
《Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland》
关键词:
iterative methods;
learning (artificial intelligence);
pattern classification;
radial basis function networks;
support vector machines;
greedy search method;
incremental asymmetric proximal support vector machine;
iterative methods;
radial basis function kernel;
75.
Parameter Estimation for Manifold Learning, Through Density Estimation
机译:
通过密度估计进行流形学习的参数估计
作者:
Vasiloglou
;
N.
;
Gray
;
A.G.
;
Anderson
;
D.V.
会议名称:
《Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland》
关键词:
estimation theory;
learning (artificial intelligence);
nonparametric statistics;
parameter estimation;
pattern classification;
pattern clustering;
Mercer kernel learning methods;
ad hoc selection;
classification;
clustering performance;
kernel density estimation;
k;
76.
Frequency-Domain Normalized Multichannel Blind Deconvolution for Convolutive Speech Mixtures: Modifications and Properties
机译:
卷积语音混合的频域归一化多通道盲反卷积:修改和属性
作者:
Seung-Hyon Nam
会议名称:
《Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland》
关键词:
blind source separation;
deconvolution;
frequency-domain analysis;
microphones;
speech processing;
stability;
beamformer;
blind source separation;
causal filters;
convolutive speech mixtures;
frequency-domain normalized multichannel blind deconvolution;
local stabi;
77.
Information Theoretic Mean Shift Algorithm
机译:
信息理论均值漂移算法
作者:
Rao
;
S.
;
Weifeng Liu
;
Principe
;
J.C.
;
de Medeiros Martins
;
A.
会议名称:
《Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland》
关键词:
Gaussian processes;
data structures;
entropy;
Cauchy-Schwartz distance;
Gaussian blurring mean shift;
cost function;
data entropy minimization;
data predominant structure;
information theory;
manifold learning;
mean shift algorithm;
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