Gaussian processes; expectation-maximisation algorithm; image classification; image colour analysis; image representation; matrix algebra; neural nets; principal component analysis; Caltech-101 dataset; Caltech-256 dataset; DM; EM algorithm; FLD; Fishers linear discriminant; GMM; Gaussian mixture models; HCbCr-LUV hybrid color space; PCA; PNN; classification rates; color homogeneity; data density; distance measures; expectation maximization algorithm; image categorization; image pixel partitioning; image representation; k-means technique; latent variables; principal component analysis; probabilistic neural network; subspace mixture models; transformation matrix; unsupervised clustering; very large object classification; Data models; Image color analysis; Image segmentation; Neural networks; Pattern recognition; Principal component analysis; Vectors; Distance Measures; FLD; Image retieval; Mixture Models; PCA; PNN; latent variables;
机译:动态混合概率PCA分类器建模及其在故障分类中的应用
机译:印度南部多光谱遥感影像上线性光谱混合模型与传统硬分类器对湿地特征分类的比较
机译:结合案例推理和基于对象的图像分类对SPOT图像进行分类:以中国广东省沿海地区水产养殖土地利用图为例
机译:研究使用线性子空间技术改进SVM分类器在面部图像分类中的有效性
机译:通过逻辑和隐马尔可夫模型分类器的数据相关混合进行基于上下文的分类
机译:混合模型在贝叶斯分类中的判别变量子集及其在流式细胞仪研究中的应用
机译:使用子空间模型的混合的图像分类