Sciweavers

159 search results - page 12 / 32
» Margin Maximizing Loss Functions
Sort
View
NIPS
2001
15 years 1 months ago
MIME: Mutual Information Minimization and Entropy Maximization for Bayesian Belief Propagation
Bayesian belief propagation in graphical models has been recently shown to have very close ties to inference methods based in statistical physics. After Yedidia et al. demonstrate...
Anand Rangarajan, Alan L. Yuille
JMLR
2010
135views more  JMLR 2010»
14 years 6 months ago
Structured Prediction Cascades
Structured prediction tasks pose a fundamental trade-off between the need for model complexity to increase predictive power and the limited computational resources for inference i...
David Weiss, Benjamin Taskar
SODA
2012
ACM
226views Algorithms» more  SODA 2012»
13 years 2 months ago
On the hardness of pricing loss-leaders
Consider the problem of pricing n items under an unlimited supply with m buyers. Each buyer is interested in a bundle of at most k of the items. These buyers are single minded, wh...
Preyas Popat, Yi Wu
ICIP
2007
IEEE
16 years 1 months ago
A Statistical Approach for Intensity Loss Compensation of Confocal Microscopy Images
In this paper a probabilistic technique for compensation of intensity loss in the confocal microscopy images is presented. Confocal microscopy images are modeled as a mixture of t...
Sowmya Gopinath, Ninad Thakoor, Jean Gao, Kate Lub...
ISIPTA
1999
IEEE
114views Mathematics» more  ISIPTA 1999»
15 years 4 months ago
Lower Desirability Functions: A Convenient Imprecise Hierarchical Uncertainty Model
I introduce and study a fairly general imprecise secondorder uncertainty model, in terms of lower desirability. A modeller's lower desirability for a gamble is defined as her...
Gert De Cooman