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Statistical classification

Known as: Classifier, Classification (machine learning), Classification 
In machine learning and statistics, classification is the problem of identifying to which of a set of categories (sub-populations) a new observation… 
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Papers overview

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2016
2016
Finding an appropriate and accurate technology for early detection of disease is significantly important to research early… 
2013
2013
Contextual advertising seeks to place relevant textual ads within the content of generic webpages. In this article, we explore a… 
2008
2008
For a large class of applications, there is time to train the system. In this paper, we propose a learning-based approach to… 
2006
2006
This paper is an empirical study on the performance of different discriminative approaches to reranking the N-best hypotheses… 
Highly Cited
2005
Highly Cited
2005
Face recognition is a challenging visual classification task, especially when the lighting conditions can not be controlled. In… 
Highly Cited
2004
Highly Cited
2004
For TRECVID 2004, CMU participated in the semantic feature extraction task, and the manual, interactive and automatic search… 
2004
2004
Finite-state models are used to implement a handwritten text recognition and classification system for a real application… 
Highly Cited
2002
Highly Cited
2002
We frame the problem of object recognition from edge cues in terms of determining whether individual edge pixels belong to the… 
2000
2000
Data mining has become an important technique which has tremendous potential in many commercial and industrial applications…