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» Analysing Probabilistically Constrained Optimism
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ICCV
2005
IEEE
15 years 3 months ago
Priors for People Tracking from Small Training Sets
We advocate the use of Scaled Gaussian Process Latent Variable Models (SGPLVM) to learn prior models of 3D human pose for 3D people tracking. The SGPLVM simultaneously optimizes a...
Raquel Urtasun, David J. Fleet, Aaron Hertzmann, P...
DEBS
2007
ACM
15 years 1 months ago
Towards a theory of events
Event-driven systems are used in a wide range of applications such as responding to missile attacks, interdicting potential terrorists, exploiting arbitrage opportunities and resp...
K. Mani Chandy, Michel Charpentier, Agostino Cappo...
PLDI
2006
ACM
15 years 3 months ago
A framework for unrestricted whole-program optimization
Procedures have long been the basic units of compilation in conventional optimization frameworks. However, procedures are typically formed to serve software engineering rather tha...
Spyridon Triantafyllis, Matthew J. Bridges, Easwar...
MICCAI
2007
Springer
15 years 10 months ago
Effects of Registration Regularization and Atlas Sharpness on Segmentation Accuracy
In this paper, we propose a unified framework for computing atlases from manually labeled data at various degrees of "sharpness" and the joint registration-segmentation o...
B. T. Thomas Yeo, Mert R. Sabuncu, Rahul Desikan, ...
GECCO
2006
Springer
192views Optimization» more  GECCO 2006»
15 years 1 months ago
Optimising cancer chemotherapy using an estimation of distribution algorithm and genetic algorithms
This paper presents a methodology for using heuristic search methods to optimise cancer chemotherapy. Specifically, two evolutionary algorithms - Population Based Incremental Lear...
Andrei Petrovski, Siddhartha Shakya, John A. W. Mc...