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NIPS
2003
13 years 9 months ago
Sequential Bayesian Kernel Regression
We propose a method for sequential Bayesian kernel regression. As is the case for the popular Relevance Vector Machine (RVM) [10, 11], the method automatically identifies the num...
Jaco Vermaak, Simon J. Godsill, Arnaud Doucet
NIPS
1996
13 years 9 months ago
Transformation Invariance in Pattern Recognition-Tangent Distance and Tangent Propagation
In pattern recognition, statistical modeling, or regression, the amount of data is a critical factor affecting the performance. If the amount of data and computational resources ar...
Patrice Simard, Yann LeCun, John S. Denker, Bernar...
ICASSP
2010
IEEE
13 years 8 months ago
Fast total variation image restoration with parameter estimation using bayesian inference
In this paper we propose two fast Total Variation (TV) based algorithms for image restoration by utilizing variational posterior distribution approximation. The unknown image and ...
Bruno Amizic, S. Derin Babacan, K. Michael Ng, Raf...
SIGIR
2005
ACM
14 years 1 months ago
A probabilistic model for retrospective news event detection
Retrospective news event detection (RED) is defined as the discovery of previously unidentified events in historical news corpus. Although both the contents and time information...
Zhiwei Li, Bin Wang, Mingjing Li, Wei-Ying Ma
DIALM
2003
ACM
113views Algorithms» more  DIALM 2003»
14 years 1 months ago
Multicast time maximization in energy constrained wireless networks
We consider the problem of maximizing the lifetime of a given multicast connection in a wireless network of energyconstrained (e.g. battery-operated) nodes, by choosing ideal tran...
Patrik Floréen, Petteri Kaski, Jukka Kohone...