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NIPS
2003
13 years 9 months ago
Learning with Local and Global Consistency
We consider the general problem of learning from labeled and unlabeled data, which is often called semi-supervised learning or transductive inference. A principled approach to sem...
Dengyong Zhou, Olivier Bousquet, Thomas Navin Lal,...
ACCV
2006
Springer
13 years 9 months ago
Learning Multi-category Classification in Bayesian Framework
Abstract. We propose an algorithm for Sparse Bayesian Classification for multi-class problems using Automatic Relevance Determination(ARD). Unlike other approaches which treat mult...
Atul Kanaujia, Dimitris N. Metaxas
CVPR
2007
IEEE
14 years 9 months ago
Semantic Hierarchies for Visual Object Recognition
In this paper we propose to use lexical semantic networks to extend the state-of-the-art object recognition techniques. We use the semantics of image labels to integrate prior kno...
Marcin Marszalek, Cordelia Schmid
CSDA
2008
67views more  CSDA 2008»
13 years 7 months ago
How useful are approximations to mean and variance of the index of dissimilarity?
Sociologists, demographers, and economists often use the index of dissimilarity, D, to describe the extent of racial, ethnic, spatial, or areal dissimilarity (or segregation) of d...
Madhuri S. Mulekar, John C. Knutson, Jyoti A. Cham...
AAI
2006
215views more  AAI 2006»
13 years 7 months ago
Extensive Evaluation of Efficient NLP-Driven Text Classification
Extensive experimental evidence is required to study the impact of text categorization approaches on real data and to assess the performance within operational scenarios. In this ...
Roberto Basili, Alessandro Moschitti, Maria Teresa...