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MCS
2010
Springer
15 years 1 months ago
A Support Kernel Machine for Supervised Selective Combining of Diverse Pattern-Recognition Modalities
Abstract. The Support Kernel Machine (SKM) and the Relevance Kernel Machine (RKM) are two principles for selectively combining objectrepresentation modalities of different kinds b...
Alexander Tatarchuk, Eugene Urlov, Vadim Mottl, Da...
IVC
2002
90views more  IVC 2002»
15 years 2 months ago
Force field energy functionals for image feature extraction
Ears are an emergent biometric accruing application advantages including no requirement for subject contact and acquisition without demand. To recognize a subject's ear, we a...
David J. Hurley, Mark S. Nixon, John N. Carter
EMNLP
2009
15 years 19 days ago
Automatically Evaluating Content Selection in Summarization without Human Models
We present a fully automatic method for content selection evaluation in summarization that does not require the creation of human model summaries. Our work capitalizes on the assu...
Annie Louis, Ani Nenkova
JIFS
2002
107views more  JIFS 2002»
15 years 2 months ago
Model selection via Genetic Algorithms for RBF networks
This work addresses the problem of finding the adjustable parameters of a learning algorithm using Genetic Algorithms. This problem is also known as the model selection problem. In...
Estefane G. M. de Lacerda, André Carlos Pon...
TPDS
1998
76views more  TPDS 1998»
15 years 2 months ago
Randomized Routing, Selection, and Sorting on the OTIS-Mesh
The Optical Transpose Interconnection System (OTIS) is a recently proposed model of computing that exploits the special features of both electronic and optical technologies. In th...
Sanguthevar Rajasekaran, Sartaj Sahni