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ICML
2008
IEEE
16 years 6 months ago
Bayesian probabilistic matrix factorization using Markov chain Monte Carlo
Low-rank matrix approximation methods provide one of the simplest and most effective approaches to collaborative filtering. Such models are usually fitted to data by finding a MAP...
Ruslan Salakhutdinov, Andriy Mnih
CVPR
2004
IEEE
16 years 7 months ago
Brightness Perception, Dynamic Range and Noise: A Unifying Model for Adaptive Image Sensors
Many computer vision applications have to cope with large dynamic range and changing illumination conditions in the environment. Any attempt to deal with these conditions at the a...
Vladimir Brajovic
INTERSPEECH
2010
15 years 6 days ago
Unsupervised discovery and training of maximally dissimilar cluster models
One of the difficult problems of acoustic modeling for Automatic Speech Recognition (ASR) is how to adequately model the wide variety of acoustic conditions which may be present i...
Françoise Beaufays, Vincent Vanhoucke, Bria...
HICSS
2007
IEEE
111views Biometrics» more  HICSS 2007»
15 years 11 months ago
Insuring Big Losses Due to Security Breaches through Insurance: A Business Model
Security breaches deter e-commerce activities. Organizations spend millions of dollars on security appliances to make online transactions more secure. Nonetheless, a new virus or ...
Arunabha Mukhopadhyay, Samir Chatterjee, Rahul Roy...
NC
2006
132views Neural Networks» more  NC 2006»
15 years 5 months ago
Learning short multivariate time series models through evolutionary and sparse matrix computation
Multivariate Time Series (MTS) data are widely available in different fields including medicine, finance, bioinformatics, science and engineering. Modelling MTS data accurately is...
Stephen Swift, Joost N. Kok, Xiaohui Liu