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JMLR
2002
115views more  JMLR 2002»
14 years 9 months ago
PAC-Bayesian Generalisation Error Bounds for Gaussian Process Classification
Approximate Bayesian Gaussian process (GP) classification techniques are powerful nonparametric learning methods, similar in appearance and performance to support vector machines....
Matthias Seeger
JMLR
2010
195views more  JMLR 2010»
14 years 8 months ago
Online Learning for Matrix Factorization and Sparse Coding
Sparse coding—that is, modelling data vectors as sparse linear combinations of basis elements—is widely used in machine learning, neuroscience, signal processing, and statisti...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
PODS
2007
ACM
171views Database» more  PODS 2007»
15 years 10 months ago
Monadic datalog over finite structures with bounded treewidth
Bounded treewidth and Monadic Second Order (MSO) logic have proved to be key concepts in establishing fixed-parameter tractability results. Indeed, by Courcelle's Theorem we ...
Georg Gottlob, Reinhard Pichler, Fang Wei
ICCV
1999
IEEE
15 years 11 months ago
Capturing Articulated Human Hand Motion: A Divide-and-Conquer Approach
The use of human hand as a natural interface device serves as a motivating force for research in the modeling, analyzing and capturing of the motion of articulated hand. Model-bas...
Ying Wu, Thomas S. Huang
INFOCOM
2006
IEEE
15 years 3 months ago
Distributed Uplink Power Control for Optimal SIR Assignment in Cellular Data Networks
Abstract—This paper solves the joint power control and SIR assignment problem through distributed algorithms in the uplink of multi-cellular wireless networks. The 1993 Foschini-...
Prashanth Hande, Sundeep Rangan, Mung Chiang