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127
Voted
NIPS
2007
15 years 5 months ago
2007
We present a new and efficient semi-supervised training method for parameter estimation and feature selection in conditional random fields (CRFs). In real-world applications suc...
125
Voted
DAWAK
2010
Springer
15 years 3 months ago
2010
Springer
Abstract. This paper addresses a task of variable selection which consists in choosing a subset of variables that is sufficient to predict the target label well. Here instead of tr...
124
Voted
DSP
2008
15 years 3 months ago
2008
We study maximum a posteriori probability model order selection for linear regression models, assuming Gaussian distributed noise and coefficient vectors. For the same data model,...
128
Voted
ICIAP
2005
ACM
16 years 3 months ago
2005
ACM
Abstract. This paper presents an optimisation technique to select automatically a set of control parameters for a Markov Random Field applied to stereo matching. The method is base...
158
Voted
APNOMS
2007
Springer
15 years 9 months ago
2007
Springer
This paper represents a new clustering approach for wireless sensor network. It is a decentralized algorithm having the topology control information in each sensor node. A post lea...