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ICML
2005
IEEE
16 years 1 months ago
2005
IEEE
In this paper, we propose a probabilistic kernel approach to preference learning based on Gaussian processes. A new likelihood function is proposed to capture the preference relat...
104
Voted
ACCV
2007
Springer
15 years 4 months ago
2007
Springer
In this paper, a novel statistical framework is proposed for shot segmentation and classification. The proposed framework segments and classifies shots simultaneously using same di...
99
Voted
ICPR
2006
IEEE
16 years 1 months ago
2006
IEEE
We propose a new maximum margin discriminative learning algorithm here for classification of temporal signals. It is superior to conventional HMM in the sense that it does not nee...
CORR
2000
Springer
15 years 15 days ago
2000
Springer
A SNoW based learning approach to shallow parsing tasks is presented and studied experimentally. The approach learns to identify syntactic patterns by combining simple predictors ...
ALT
2003
Springer
15 years 9 months ago
2003
Springer
Inductive inference is concerned with algorithmic learning of recursive functions. In the model of learning in the limit a learner successful for a class of recursive functions mus...