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106
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JMLR
2010
123views more  JMLR 2010»
14 years 7 months ago
Inductive Principles for Restricted Boltzmann Machine Learning
Recent research has seen the proposal of several new inductive principles designed specifically to avoid the problems associated with maximum likelihood learning in models with in...
Benjamin Marlin, Kevin Swersky, Bo Chen, Nando de ...
ACL
2012
13 years 3 months ago
Machine Translation without Words through Substring Alignment
In this paper, we demonstrate that accurate machine translation is possible without the concept of “words,” treating MT as a problem of transformation between character string...
Graham Neubig, Taro Watanabe, Shinsuke Mori, Tatsu...
91
Voted
ICPR
2008
IEEE
15 years 7 months ago
Fast model selection for MaxMinOver-based training of support vector machines
OneClassMaxMinOver (OMMO) is a simple incremental algorithm for one-class support vector classification. We propose several enhancements and heuristics for improving model select...
Fabian Timm, Sascha Klement, Thomas Martinetz
103
Voted
FGR
2006
IEEE
146views Biometrics» more  FGR 2006»
15 years 6 months ago
Human and Machine Recognition of Fourier-Bessel Filtered Face Images
Motivated by a recently proposed biologically-inspired face recognition approach, psychophysical experiments have been carried out. We measured recognition performance of polar fr...
Yossi Zana, Roberto Marcondes Cesar Junior, Jesus ...
97
Voted
NLDB
2004
Springer
15 years 6 months ago
On Embedding Machine-Processable Semantics into Documents
—Most Web and legacy paper-based documents are available in human comprehensible text form, not readily accessible to or understood by computer programs. Here, we investigate an ...
Krishnaprasad Thirunarayan