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105
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ICCV
2007
IEEE
16 years 2 months ago
2007
IEEE
In many vision problems, instead of having fully labeled training data, it is easier to obtain the input in small groups, where the data in each group is constrained to be from th...
118
Voted
ICCV
2007
IEEE
16 years 2 months ago
2007
IEEE
Linear Discriminant Analysis (LDA) has been a popular method for extracting features which preserve class separability. The projection vectors are commonly obtained by maximizing ...
104
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ICCV
2003
IEEE
16 years 2 months ago
2003
IEEE
Learning visual models of object categories notoriously requires thousands of training examples; this is due to the diversity and richness of object appearance which requires mode...
98
Voted
ICIP
2006
IEEE
16 years 2 months ago
2006
IEEE
We present a subspace learning method, called Local Discriminant Embedding with Tensor representation (LDET), that addresses simultaneously the generalization and data representat...
101
Voted
ICIP
2006
IEEE
16 years 2 months ago
2006
IEEE
In this paper, we propose a novel bit-stream switching scheme for the multiple bit-rate (MBR) video streaming, in which a Wyner-Ziv coded frame is used to overcome the mismatch be...