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CORR
2006
Springer
130views Education» more  CORR 2006»
15 years 1 months ago
On optimal quantization rules for some sequential decision problems
We consider the problem of sequential decentralized detection, a problem that entails several interdependent choices: the choice of a stopping rule (specifying the sample size), a...
XuanLong Nguyen, Martin J. Wainwright, Michael I. ...
NN
2002
Springer
136views Neural Networks» more  NN 2002»
15 years 1 months ago
Bayesian model search for mixture models based on optimizing variational bounds
When learning a mixture model, we suffer from the local optima and model structure determination problems. In this paper, we present a method for simultaneously solving these prob...
Naonori Ueda, Zoubin Ghahramani
CVPR
2008
IEEE
16 years 3 months ago
Sparsity, redundancy and optimal image support towards knowledge-based segmentation
In this paper, we propose a novel approach to model shape variations. It encodes sparsity, exploits geometric redundancy, and accounts for the different degrees of local variation...
Salma Essafi, Georg Langs, Nikos Paragios
ECCV
2008
Springer
16 years 3 months ago
Three Dimensional Curvilinear Structure Detection Using Optimally Oriented Flux
Abstract. This paper proposes a novel curvilinear structure detector, called Optimally Oriented Flux (OOF). OOF finds an optimal axis on which image gradients are projected in orde...
Max W. K. Law, Albert C. S. Chung
ICML
1998
IEEE
16 years 2 months ago
A Fast, Bottom-Up Decision Tree Pruning Algorithm with Near-Optimal Generalization
In this work, we present a new bottom-up algorithmfor decision tree pruning that is very e cient requiring only a single pass through the given tree, and prove a strong performanc...
Michael J. Kearns, Yishay Mansour