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» On Feature Selection, Bias-Variance, and Bagging
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CVPR
2005
IEEE
10 years 1 months ago
A Sparse Support Vector Machine Approach to Region-Based Image Categorization
Automatic image categorization using low-level features is a challenging research topic in computer vision. In this paper, we formulate the image categorization problem as a multi...
Jinbo Bi, Yixin Chen, James Ze Wang
KAIS
2008
221views more  KAIS 2008»
8 years 11 months ago
Forecasting skewed biased stochastic ozone days: analyses, solutions and beyond
Much work on skewed, stochastic, high dimensional, and biased datasets usually implicitly solve each problem separately. Recently, we have been approached by Texas Commission on En...
Kun Zhang, Wei Fan
CLEF
2009
Springer
8 years 9 months ago
ImageCLEF 2009 Medical Image Annotation Task: PCTs for Hierarchical Multi-Label Classification
In this paper, we describe an approach for the automatic medical image annotation task of the 2009 CLEF cross-language image retrieval campaign (ImageCLEF). This work is focused o...
Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, ...
CIKM
2009
Springer
9 years 5 months ago
Translating relevance scores to probabilities for contextual advertising
Information retrieval systems conventionally assess document relevance using the bag of words model. Consequently, relevance scores of documents retrieved for diļ¬€erent queries a...
Deepak Agarwal, Evgeniy Gabrilovich, Robert Hall, ...
ICWSM
2008
9 years 22 days ago
Predicting Success and Failure in Weight Loss Blogs through Natural Language Use
We explore the emerging phenomenon of blogging about personal goals, and demonstrate how natural language processing tools can be used to uncover psychologically meaningful constr...
Cindy K. Chung, Clinton Jones, Alexander Liu, Jame...
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