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» On learning algorithm selection for classification
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94
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ICML
2006
IEEE
16 years 3 months ago
Inference with the Universum
In this paper we study a new framework introduced by Vapnik (1998) and Vapnik (2006) that is an alternative capacity concept to the large margin approach. In the particular case o...
Fabian H. Sinz, Jason Weston, Léon Bottou, ...
WWW
2007
ACM
16 years 3 months ago
First-order focused crawling
This paper reports a new general framework of focused web crawling based on "relational subgroup discovery". Predicates are used explicitly to represent the relevance cl...
Qingyang Xu, Wanli Zuo
MTA
2007
113views more  MTA 2007»
15 years 1 months ago
A framework for a video analysis tool for suspicious event detection
This paper proposes a framework to aid video analysts in detecting suspicious activity within the tremendous amounts of video data that exists in today’s world of omnipresent su...
Gal Lavee, Latifur Khan, Bhavani M. Thuraisingham
CVPR
2005
IEEE
15 years 8 months ago
A Discriminative Framework for Modelling Object Classes
Here we explore a discriminative learning method on underlying generative models for the purpose of discriminating between object categories. Visual recognition algorithms learn m...
Alex Holub, Pietro Perona
116
Voted
CIKM
2008
Springer
15 years 4 months ago
Mining conceptual graphs for knowledge acquisition
This work addresses the use of computational linguistic analysis techniques for conceptual graphs learning from unstructured texts. A technique including both content mining and i...
Milagros Fernández, Eric Villemonte de la C...