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126
Voted
BMVC
2010
15 years 1 days ago
2010
We introduce a novel bilinear boosting algorithm, which extends the multi-class boosting framework of JointBoost to optimize a bilinear objective function. This allows style param...
156
Voted
AAAI
2011
14 years 2 months ago
2011
Coarse-to-fine approaches use sequences of increasingly fine approximations to control the complexity of inference and learning. These techniques are often used in NLP and visio...
135
Voted
INFOCOM
2012
IEEE
13 years 5 months ago
2012
IEEE
—In this paper we develop an adaptive learning algorithm which is approximately optimal for an opportunistic spectrum access (OSA) problem with polynomial complexity. In this OSA...
117
Voted
ICCV
2009
IEEE
16 years 7 months ago
2009
IEEE
Recognizing object classes and their 3D viewpoints is an
important problem in computer vision. Based on a partbased
probabilistic representation [31], we propose a new
3D object...
126
Voted
ICCV
2009
IEEE
16 years 7 months ago
2009
IEEE
We propose an unconventional but highly effective approach
to robust fitting of multiple structures by using statistical
learning concepts. We design a novel Mercer kernel
for t...