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ICMLA
2007
15 years 5 months ago
Maximum Likelihood Quantization of Genomic Features Using Dynamic Programming
Dynamic programming is introduced to quantize a continuous random variable into a discrete random variable. Quantization is often useful before statistical analysis or reconstruct...
Mingzhou (Joe) Song, Robert M. Haralick, Sté...
IMAMS
2007
133views Mathematics» more  IMAMS 2007»
15 years 5 months ago
Tuning Subdivision Algorithms Using Constrained Energy Optimization
In this paper a method is presented to fair the limit surface of a subdivision algorithm around an extraordinary point. The eigenvalues and eigenvectors of the subdivision matrix d...
Ingo Ginkel, Georg Umlauf
JFPLC
2003
15 years 5 months ago
Une approche hybride pour l'optimisation multi-objectif sous contraintes
ABSTRACT. We present PICPA, a new algorithm for tackling constrained continuous multiobjective problems. The algorithm combines constraint propagation techniques and evolutionary c...
Vincent Barichard, Jin-Kao Hao
NIPS
2003
15 years 5 months ago
On the Concentration of Expectation and Approximate Inference in Layered Networks
We present an analysis of concentration-of-expectation phenomena in layered Bayesian networks that use generalized linear models as the local conditional probabilities. This frame...
XuanLong Nguyen, Michael I. Jordan
BMVC
1998
15 years 5 months ago
Learning to Associate Faces across Views in Vector Space of Similarities to Prototypes
We present a method for learning appearance models that can be used to recognise and track both 3D head pose and identities of novel subjects with continuous head movement across ...
Shaogang Gong, Eng-Jon Ong, Stephen J. McKenna