780 search results - page 50 / 156 » Learning Mid-Level Features For Recognition |
105
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ALT
2006
Springer
15 years 11 months ago
2006
Springer
Abstract. We propose a method of unsupervised learning from stationary, vector-valued processes. A low-dimensional subspace is selected on the basis of a criterion which rewards da...
127
Voted
ICCV
2005
IEEE
16 years 4 months ago
2005
IEEE
Discriminative learning is challenging when examples are sets of features, and the sets vary in cardinality and lack any sort of meaningful ordering. Kernel-based classification m...
117
Voted
ICPR
2004
IEEE
16 years 3 months ago
2004
IEEE
Autoassociator is an important issue in concept learning, and the learned concept of a particular class can be used to distinguish the class from the others. For nonlinear autoass...
116
Voted
CVPR
2007
IEEE
15 years 8 months ago
2007
IEEE
In this paper, we propose a novel learned visual codebook (LVC) for 3D face recognition. In our method, we first extract intrinsic discriminative information embedded in 3D faces...
173
Voted
ICASSP
2008
IEEE
15 years 9 months ago
2008
IEEE
Non-negative matrix factorisation (NMF) is an unsupervised learning technique that decomposes a non-negative data matrix into a product of two lower rank non-negative matrices. Th...