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ICCV
2011
IEEE
12 years 8 months ago
Building a better probabilistic model of images by factorization
We describe a directed bilinear model that learns higherorder groupings among features of natural images. The model represents images in terms of two sets of latent variables: one...
Jack Culpepper, Jascha Sohl-Dickstein, Bruno Olaha...
ICPPW
2006
IEEE
14 years 2 months ago
m-LPN: An Approach Towards a Dependable Trust Model for Pervasive Computing Applications
Trust, the fundamental basis of ‘cooperation’ – one of the most important characteristics for the performance of pervasive ad hoc network-- is under serious threat with the ...
Munirul M. Haque, Sheikh Iqbal Ahamed
NN
2007
Springer
103views Neural Networks» more  NN 2007»
13 years 7 months ago
Emergence of sequence sensitivity in a hippocampal CA3-CA1 model
Recent studies have shown that place cells in the hippocampal CA1 region fire in a sequence sensitive manner. In this study we tested if hippocampal CA3 and CA1 regions can give ...
Motoharu Yoshida, Hatsuo Hayashi
ICDM
2007
IEEE
122views Data Mining» more  ICDM 2007»
14 years 2 months ago
Noise Modeling with Associative Corruption Rules
This paper presents an active learning approach to the problem of systematic noise inference and noise elimination, specifically the inference of Associated Corruption (AC) rules...
Yan Zhang, Xindong Wu
EMNLP
2010
13 years 6 months ago
Confidence in Structured-Prediction Using Confidence-Weighted Models
Confidence-Weighted linear classifiers (CW) and its successors were shown to perform well on binary and multiclass NLP problems. In this paper we extend the CW approach for sequen...
Avihai Mejer, Koby Crammer