1091 search results - page 79 / 219 » Learning Models for Predicting Recognition Performance |
CVPR
2007
IEEE
15 years 12 months ago
2007
IEEE
A major shortcoming of discriminative recognition and detection methods is their noise sensitivity, both during training and recognition. This may lead to very sensitive and britt...
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ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
Deep Belief Networks (DBNs) are multi-layer generative models. They can be trained to model windows of coefficients extracted from speech and they discover multiple layers of fea...
CVPR
2005
IEEE
15 years 12 months ago
2005
IEEE
We propose a simple model of human motion as a switching linear dynamical system where the switches correspond to contact forces with the ground. This significantly improves the m...
SIGIR
2009
ACM
15 years 4 months ago
2009
ACM
This paper addresses the problem of Named Entity Recognition in Query (NERQ), which involves detection of the named entity in a given query and classification of the named entity...
CVPR
2008
IEEE
15 years 4 months ago
2008
IEEE
Spatial priors play crucial roles in many high-level vision tasks, e.g. scene understanding. Usually, learning spatial priors relies on training a structured output model. In this...