Texture classification via patch-based sparse texton learning

Keyphrases

• Benchmark Dataset 20%
• Classification Approach 20%
• Classification Methods 20%
• Cluster Center 20%
• Clustering Process 20%
• Computer Vision 20%
• Dictionary 40%
• Distance-based 20%
• Euclidean Distance 20%
• Feature Space 40%
• Histogram 20%
• Image Patch 40%
• Image Texture 20%
• Intrinsic Features 20%
• K-means 20%
• K-means Clustering Algorithm 20%
• L1-norm Minimization 20%
• Low-dimensional Manifolds 20%
• Patch Features 20%
• Patch-based 100%
• Pattern Recognition 20%
• Representation Coefficients 20%
• Sparse Representation 60%
• Texton 80%
• Texton Learning 100%
• Texture Classification 100%
• Training Data 20%
• Vision Recognition 20%

Computer Science

• classification approach 20%
• Classification Method 20%
• clustering process 20%
• Computer Vision 20%
• Dimensional Manifold 20%
• Euclidian Distance 20%
• Experimental Result 20%
• Feature Space 40%
• K-Means Clustering 20%
• k-means Clustering 20%
• Pattern Recognition 20%
• Sparse Representation 60%
• Texture Classification 100%
• Training Dataset 20%