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» Training of Classifiers Using Virtual Samples Only
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ICPR
2004
IEEE
15 years 10 months ago
Training of Classifiers Using Virtual Samples Only
This paper describes the training of classifiers entirely based on virtual images, rendered by a ray-tracing software. Two classifiers, a support vector machine and a polynomial c...
Annika Kuhl, Lars Krüger, Christian Wöhl...
KDD
2008
ACM
137views Data Mining» more  KDD 2008»
15 years 10 months ago
Learning classifiers from only positive and unlabeled data
The input to an algorithm that learns a binary classifier normally consists of two sets of examples, where one set consists of positive examples of the concept to be learned, and ...
Charles Elkan, Keith Noto
ICML
2006
IEEE
15 years 10 months ago
Locally adaptive classification piloted by uncertainty
Locally adaptive classifiers are usually superior to the use of a single global classifier. However, there are two major problems in designing locally adaptive classifiers. First,...
Juan Dai, Shuicheng Yan, Xiaoou Tang, James T. Kwo...
72
Voted
ICDAR
2009
IEEE
15 years 4 months ago
Writer Adaptation for Online Handwriting Recognition System Using Virtual Examples
For an online handwriting recognition system equipped with a writer-independent classifier to progressively improve the recognition performance for a specific writer with an incre...
Hidetoshi Miyao, Minoru Maruyama
73
Voted
CLEF
2010
Springer
14 years 10 months ago
It Was Easy, when Apples and Blackberries Were only Fruits
Ambiguities in company names are omnipresent. This is not accidental, companies deliberately chose ambiguous brand names, as part of their marketing and branding strategy. This pro...
Surender Reddy Yerva, Zoltán Miklós,...