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IJCV
2008
266views more  IJCV 2008»
15 years 4 months ago
Learning to Recognize Objects with Little Supervision
This paper shows (i) improvements over state-of-the-art local feature recognition systems, (ii) how to formulate principled models for automatic local feature selection in object c...
Peter Carbonetto, Gyuri Dorkó, Cordelia Sch...
INTERSPEECH
2010
14 years 10 months ago
Using a DBN to integrate sparse classification and GMM-based ASR
The performance of an HMM-based speech recognizer using MFCCs as input is known to degrade dramatically in noisy conditions. Recently, an exemplar-based noise robust ASR approach,...
Yang Sun, Jort F. Gemmeke, Bert Cranen, Louis ten ...
164
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CVPR
2008
IEEE
16 years 6 months ago
Learning Bayesian Networks with qualitative constraints
Graphical models such as Bayesian Networks (BNs) are being increasingly applied to various computer vision problems. One bottleneck in using BN is that learning the BN model param...
Yan Tong, Qiang Ji
BMCBI
2008
162views more  BMCBI 2008»
15 years 4 months ago
Improved identification of conserved cassette exons using Bayesian networks
Background: Alternative splicing is a major contributor to the diversity of eukaryotic transcriptomes and proteomes. Currently, large scale detection of alternative splicing using...
Rileen Sinha, Michael Hiller, Rainer Pudimat, Ulri...
156
Voted
PR
2008
97views more  PR 2008»
15 years 3 months ago
A vision-based method for weeds identification through the Bayesian decision theory
One of the objectives of precision agriculture is to minimize the volume of herbicides that are applied to the fields through the use of site-specific weed management systems. Thi...
Alberto Tellaeche, Xavier P. Burgos-Artizzu, Gonza...