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» Optimizing Local Probability Models for Statistical Parsing
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CIVR
2008
Springer
279views Image Analysis» more  CIVR 2008»
15 years 3 months ago
Semi-supervised learning of object categories from paired local features
This paper presents a semi-supervised learning (SSL) approach to find similarities of images using statistics of local matches. SSL algorithms are well known for leveraging a larg...
Wen Wu, Jie Yang
GECCO
2011
Springer
236views Optimization» more  GECCO 2011»
14 years 5 months ago
Online, GA based mixture of experts: a probabilistic model of ucs
In recent years there have been efforts to develop a probabilistic framework to explain the workings of a Learning Classifier System. This direction of research has met with lim...
Narayanan Unny Edakunni, Gavin Brown, Tim Kovacs
CORR
2007
Springer
109views Education» more  CORR 2007»
15 years 1 months ago
Optimal Causal Inference
We consider an information-theoretic objective function for statistical modeling of time series that embodies a parametrized trade-off between the predictive power of a model and...
Susanne Still, James P. Crutchfield, Christopher J...
ICIP
2003
IEEE
16 years 3 months ago
Feature selection for unsupervised discovery of statistical temporal structures in video
We present algorithms for automatic feature selection for unsupervised structure discovery from video sequences. Feature selection in this scenario is hard because of the absence ...
Lexing Xie, Shih-Fu Chang, Ajay Divakaran, Huifang...
SCALESPACE
2009
Springer
15 years 8 months ago
Optimization of Divergences within the Exponential Family for Image Segmentation
In this work, we propose novel results for the optimization of divergences within the framework of region-based active contours. We focus on parametric statistical models where th...
François Lecellier, Stéphanie Jehan-...