1406 search results - page 33 / 282 » Learning Pseudo-independent Models: Analytical and Experimen... |
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INTERSPEECH
2010
14 years 4 months ago
2010
In this paper, we propose a novel boosted mixture learning (BML) framework for Gaussian mixture HMMs in speech recognition. BML is an incremental method to learn mixture models fo...
BMVC
2010
14 years 8 months ago
2010
In this paper, we propose a novel manifold alignment method by learning the underlying common manifold with supervision of corresponding data pairs from different observation sets...
LCN
2005
IEEE
15 years 3 months ago
2005
IEEE
It is known that analytic modelling for TCP latency is a non trivial task. Recently, some significant progress has been made, such as the comprehensive result by Sikdar et al. Ho...
JMLR
2002
14 years 9 months ago
2002
We present some greedy learning algorithms for building sparse nonlinear regression and classification models from observational data using Mercer kernels. Our objective is to dev...
107
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CVPR
2012
IEEE
13 years 13 days ago
2012
IEEE
Top-down visual saliency facilities object localization by providing a discriminative representation of target objects and a probability map for reducing the search space. In this...