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JMLR
2010
139views more  JMLR 2010»
13 years 4 months ago
On the Foundations of Noise-free Selective Classification
We consider selective classification, a term we adopt here to refer to `classification with a reject option.' The essence in selective classification is to trade-off classifi...
Ran El-Yaniv, Yair Wiener
ACL
2010
13 years 8 months ago
Employing Personal/Impersonal Views in Supervised and Semi-Supervised Sentiment Classification
In this paper, we adopt two views, personal and impersonal views, and systematically employ them in both supervised and semi-supervised sentiment classification. Here, personal vi...
Shoushan Li, Chu-Ren Huang, Guodong Zhou, Sophia Y...
ADMA
2006
Springer
143views Data Mining» more  ADMA 2006»
14 years 1 months ago
Robust Collective Classification with Contextual Dependency Network Models
Abstract. In order to exploit the dependencies in relational data to improve predictions, relational classification models often need to make simultaneous statistical judgments abo...
YongHong Tian, Tiejun Huang, Wen Gao
DAGM
2007
Springer
14 years 1 months ago
Greedy-Based Design of Sparse Two-Stage SVMs for Fast Classification
Cascades of classifiers constitute an important architecture for fast object detection. While boosting of simple (weak) classifiers provides an established framework, the design of...
Rezaul Karim, Martin Bergtholdt, Jörg H. Kapp...
ICIP
2009
IEEE
14 years 11 months ago
Optimum Kernel Function Design From Scale Space Features For Object Detection
Scale-space representation of an image is a significant way to generate features for classification. However, for a specific classification task, the entire scale-space may not be...