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» Optimal Bounds on Tail Probabilities - A Simplified Approach
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ECCV
2006
Springer
14 years 9 months ago
Globally Optimal Active Contours, Sequential Monte Carlo and On-Line Learning for Vessel Segmentation
In this paper we propose a Particle Filter-based propagation approach for the segmentation of vascular structures in 3D volumes. Because of pathologies and inhomogeneities, many de...
Charles Florin, Nikos Paragios, James Williams
JMLR
2006
117views more  JMLR 2006»
13 years 7 months ago
On the Complexity of Learning Lexicographic Strategies
Fast and frugal heuristics are well studied models of bounded rationality. Psychological research has proposed the take-the-best heuristic as a successful strategy in decision mak...
Michael Schmitt, Laura Martignon
NIPS
2004
13 years 9 months ago
Constraining a Bayesian Model of Human Visual Speed Perception
It has been demonstrated that basic aspects of human visual motion perception are qualitatively consistent with a Bayesian estimation framework, where the prior probability distri...
Alan Stocker, Eero P. Simoncelli
STOC
2012
ACM
251views Algorithms» more  STOC 2012»
11 years 10 months ago
Minimax option pricing meets black-scholes in the limit
Option contracts are a type of financial derivative that allow investors to hedge risk and speculate on the variation of an asset’s future market price. In short, an option has...
Jacob Abernethy, Rafael M. Frongillo, Andre Wibiso...
CDC
2009
IEEE
142views Control Systems» more  CDC 2009»
13 years 5 months ago
Asynchronous distributed optimization with minimal communication and connectivity preservation
Abstract-- We consider problems where multiple agents cooperate to control their individual state so as to optimize a common objective while communicating with each other to exchan...
Minyi Zhong, Christos G. Cassandras