644 search results - page 49 / 129 » Robust Bayesian Mixture Modelling |
99
Voted
NIPS
2001
15 years 2 months ago
2001
Massive transaction data sets are recorded in a routine manner in telecommunications, retail commerce, and Web site management. In this paper we address the problem of inferring p...
83
Voted
ICASSP
2010
IEEE
14 years 11 months ago
2010
IEEE
In this paper, we introduce a novel bayesian compressive sensing (CS) technique for phonetic classification. CS is often used to characterize a signal from a few support training...
118
Voted
ICML
2001
IEEE
16 years 1 months ago
2001
IEEE
Hard disk drive failures are rare but are often costly. The ability to predict failures is important to consumers, drive manufacturers, and computer system manufacturers alike. In...
88
Voted
ICCV
2003
IEEE
16 years 2 months ago
2003
IEEE
We present a method for unsupervised learning of classes of motions in video. We project optical flow fields to a complete, orthogonal, a-priori set of basis functions in a probab...
120
click to vote
CORR
2008
Springer
15 years 23 days ago
2008
Springer
Compressive sensing (CS) is an emerging field based on the revelation that a small collection of linear projections of a sparse signal contains enough information for stable, sub-N...