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» On the monotonization of the training set
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WACV
2005
IEEE
15 years 11 months ago
Semi-Supervised Self-Training of Object Detection Models
The construction of appearance-based object detection systems is time-consuming and difficult because a large number of training examples must be collected and manually labeled i...
Chuck Rosenberg, Martial Hebert, Henry Schneiderma...
SEMCO
2007
IEEE
16 years 12 days ago
Large-Margin Discriminative Training of Hidden Markov Models for Speech Recognition
Discriminative training has been a leading factor for improving automatic speech recognition (ASR) performance over the last decade. The traditional discriminative training, howev...
Dong Yu, Li Deng
FLAIRS
2009
15 years 3 months ago
Training to a Neural Net's Inherent Bias
A neural net with multiple output nodes is capable of distinguishing among a set of related input classes even in the absence of training. It can do so with an accuracy that is ma...
Steven Gutstein, Olac Fuentes, Eric Freudenthal
PRL
2002
146views more  PRL 2002»
15 years 5 months ago
Face recognition with one training image per person
: Recently, a method called (PC)2 A was proposed to deal with face recognition with one training image per person. As an extension of the standard eigenface technique, (PC)2 A comb...
Jianxin Wu, Zhi-Hua Zhou
CN
2010
160views more  CN 2010»
15 years 6 months ago
ABS: Adaptive buffer sizing for heterogeneous networks
Most existing criteria [3], [5], [8] for sizing router buffers rely on explicit formulation of the relationship between buffer size and characteristics of Internet traffic. However...
Yueping Zhang, Dmitri Loguinov