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190
Voted
SAC
2009
ACM
16 years 1 months ago
2009
ACM
Incorporating background knowledge into data mining algorithms is an important but challenging problem. Current approaches in semi-supervised learning require explicit knowledge p...
158
Voted
BIBM
2008
IEEE
16 years 1 months ago
2008
IEEE
Understanding what are the characteristics of proteinprotein interfaces is at the core of numerous applications. This paper introduces a method in which the proteins are described...
174
Voted
ICDCS
2007
IEEE
16 years 1 months ago
2007
IEEE
Learning the underlying model from distributed data is often useful for many distributed systems. In this paper, we study the problem of learning a non-parametric model from distr...
175
click to vote
ICIP
2005
IEEE
16 years 19 days ago
2005
IEEE
In this paper we address the problem of visual surveillance, which we define as the problem of optimally extracting information from the visual scene with a fixating, foveated ima...
149
Voted
IDA
2005
Springer
16 years 16 days ago
2005
Springer
Unsupervised sequence learning is important to many applications. A learner is presented with unlabeled sequential data, and must discover sequential patterns that characterize the...