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105
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CLEF
2010
Springer
15 years 3 months ago
Combining Semantics and Statistics for Patent Classification
For the patent classification task of the 2010 CLEF-IP evaluation we have used three different approaches combining semantics and statistics-driven techniques: first approach is b...
Franck Derieux, Mihaela Bobeica, Delphine Pois, Je...
107
Voted
SIAMCO
2000
117views more  SIAMCO 2000»
15 years 2 months ago
The O.D.E. Method for Convergence of Stochastic Approximation and Reinforcement Learning
It is shown here that stability of the stochastic approximation algorithm is implied by the asymptotic stability of the origin for an associated ODE. This in turn implies convergen...
Vivek S. Borkar, Sean P. Meyn
CVPR
2006
IEEE
16 years 4 months ago
When Fisher meets Fukunaga-Koontz: A New Look at Linear Discriminants
The Fisher Linear Discriminant (FLD) is commonly used in pattern recognition. It finds a linear subspace that maximally separates class patterns according to Fisher's Criteri...
Sheng Zhang, Terence Sim
113
Voted
ACCV
2009
Springer
15 years 9 months ago
Detecting Spatiotemporal Structure Boundaries: Beyond Motion Discontinuities
Abstract. The detection of motion boundaries has been and remains a longstanding challenge in computer vision. In this paper, the recovery of motion boundaries is recast in a broad...
Konstantinos G. Derpanis, Richard P. Wildes
ICDM
2007
IEEE
150views Data Mining» more  ICDM 2007»
15 years 9 months ago
Connections between Mining Frequent Itemsets and Learning Generative Models
Frequent itemsets mining is a popular framework for pattern discovery. In this framework, given a database of customer transactions, the task is to unearth all patterns in the for...
Srivatsan Laxman, Prasad Naldurg, Raja Sripada, Ra...