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» Objective Functions for Feature Discrimination
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117
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ICCV
2003
IEEE
16 years 4 months ago
Ranking Prior Likelihood Distributions for Bayesian Shape Localization Framework
In this paper, we formulate the shape localization problem in the Bayesian framework. In the learning stage, we propose the Constrained RankBoost approach to model the likelihood ...
Shuicheng Yan, Mingjing Li, HongJiang Zhang, QianS...
MLDM
2005
Springer
15 years 8 months ago
Supervised Evaluation of Dataset Partitions: Advantages and Practice
In the context of large databases, data preparation takes a greater importance : instances and explanatory attributes have to be carefully selected. In supervised learning, instanc...
Sylvain Ferrandiz, Marc Boullé
134
Voted
ASSETS
2005
ACM
15 years 4 months ago
Automatic production of tactile graphics from scalable vector graphics
This paper presents a method to convert vector graphics into tactile representations for the blind. Generating tactile pictures from vector graphics is an important effort to bri...
Stephen E. Krufka, Kenneth E. Barner
133
Voted
DAGM
2009
Springer
15 years 9 months ago
Markerless 3D Face Tracking
We present a novel algorithm for the markerless tracking of deforming surfaces such as faces. We acquire a sequence of 3D scans along with color images at 40Hz. The data is then re...
Christian Walder, Martin Breidt, Heinrich H. B&uum...
89
Voted
APSEC
2006
IEEE
15 years 8 months ago
Cohesion Analysis in Linux Kernel
It is widely accepted that strong coupling such as common coupling should be used with caution among modules. Linux kernel is analyzed in terms of these common coupling instances ...
K. Vinay Kumar Reddy, D. Janakiram