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A Multiple Kernel Learning Approach to Joint Multi-class Object Detection

机译：联合多类目标检测的多核学习方法

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Christoph H. Lampert; Matthew B. Blaschko;
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年度 2010
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1. Object Detection With DoG Scale-Space: A Multiple Kernel Learning Approach [J] . Nilufar S., Ray N., Zhang H. Image Processing, IEEE Transactions on . 2012,第8期

机译：使用DoG尺度空间进行对象检测：一种多核学习方法
2. Geometrically invariant color, shape and texture features for object recognition using multiple kernel learning classification approach [J] . Singh Chandan, Singh Jaspreet Information Sciences: An International Journal . 2019,第期

机译：使用多个内核学习分类方法对象识别的几何不变颜色，形状和纹理特征
3. E2LSH based multiple kernel approach for object detection [J] . Ruijie Zhang, Fushan Wei, Bicheng Li Neurocomputing . 2014,第jana26期

机译：基于E2LSH的多核目标检测方法
4. A Multiple Kernel Learning Approach to Joint Multi-class Object Detection [C] . Christoph H. Lampert, Matthew B. Blaschko DAGM Symposium on Pattern Recognition . 2008

机译：联合多类目标检测的多核学习方法
5. Application of a Novel Multiple Kernel Learning Framework for Improving the Robustness of Network Intrusion Detection. [D] . Fossaceca, John M. 2015

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6. A Machine Learning Multi-Class Approach for Fall Detection Systems Based on Wearable Sensors with a Study on Sampling Rates Selection [O] . Nicolas Zurbuchen, Adriana Wilde, Pascal Bruegger 2021

机译：一种基于可穿戴传感器的落下检测系统的机器学习多级方法采用采样率选择
7. A Multiple Kernel Learning Approach to Joint Multi-Class Object Detection [O] . Lampert C., Blaschko M. 2008

机译：一种联合多类目标检测的多核学习方法
8. Compositional Models for Video Event Detection: A Multiple Kernel Learning Latent Variable Approach (Open Access). [R] . Vahdat, A., Cannons, K., Mori, G., 2014

机译：视频事件检测的组合模型：多核学习潜变量方法（开放存取）。

A Multiple Kernel Learning Approach to Joint Multi-class Object Detection

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