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ICML
2009
IEEE
14 years 3 months ago
Rule learning with monotonicity constraints
In classification with monotonicity constraints, it is assumed that the class label should increase with increasing values on the attributes. In this paper we aim at formalizing ...
Wojciech Kotlowski, Roman Slowinski
PCM
2007
Springer
114views Multimedia» more  PCM 2007»
14 years 3 months ago
Random Convolution Ensembles
A novel method for creating diverse ensembles of image classifiers is proposed. The idea is that, for each base image classifier in the ensemble, a random image transformation is g...
Michael Mayo
ICPR
2010
IEEE
14 years 2 months ago
Unsupervised Learning of Stroke Tagger for Online Kanji Handwriting Recognition
—Traditionally, HMM-based approaches to online Kanji handwriting recognition have relied on a hand-made dictionary, mapping characters to primitives such as strokes or substrokes...
Mathieu Blondel, Kazuhiro Seki, Kuniaki Uehara
IAT
2009
IEEE
14 years 7 days ago
On the Acceptability of Meta-arguments
In this paper we introduce a theory of meta-argumentation, by using Dung’s theory of abstract argumentation to reason about itself. Metaarguments are generated from atomic argum...
Guido Boella, Leendert van der Torre, Serena Villa...
ICCV
2011
IEEE
12 years 9 months ago
Domain Adaptation for Object Recognition: An Unsupervised Approach
Adapting the classifier trained on a source domain to recognize instances from a new target domain is an important problem that is receiving recent attention. In this paper, we p...
Raghuraman Gopalan, Ruonan Li, Rama Chellappa