2865 search results - page 412 / 573 » Learning Models for Object Recognition |
127
Voted
IJCV
2008
15 years 1 months ago
2008
Histograms of local appearance descriptors are a popular representation for visual recognition. They are highly discriminant with good resistance to local occlusions and to geomet...
122
click to vote
ACL
2009
14 years 11 months ago
2009
Stochastic gradient descent (SGD) uses approximate gradients estimated from subsets of the training data and updates the parameters in an online fashion. This learning framework i...
131
click to vote
MM
2004
ACM
15 years 7 months ago
2004
ACM
Motion information is a powerful cue for visual perception. In the context of video indexing and retrieval, motion content serves as a useful source for compact video representati...
127
Voted
RECOMB
2003
Springer
16 years 2 months ago
2003
Springer
The availability of whole genome sequences and high-throughput genomic assays opens the door for in silico analysis of transcription regulation. This includes methods for discover...
106
click to vote
ICANN
2007
Springer
15 years 8 months ago
2007
Springer
Abstract. Recurrent neural networks (RNNs) have proved effective at one dimensional sequence learning tasks, such as speech and online handwriting recognition. Some of the properti...