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CORR
2007
Springer
90views Education» more  CORR 2007»
15 years 6 months ago
Mutual information for the selection of relevant variables in spectrometric nonlinear modelling
Data from spectrophotometers form vectors of a large number of exploitable variables. Building quantitative models using these variables most often requires using a smaller set of...
Fabrice Rossi, Amaury Lendasse, Damien Franç...
IWANN
2007
Springer
16 years 10 days ago
Advantages of Using Feature Selection Techniques on Steganalysis Schemes
Abstract. Steganalysis consists in classifying documents as steganographied or genuine. This paper presents a methodology for steganalysis based on a set of 193 features with two m...
Yoan Miche, Patrick Bas, Amaury Lendasse, Christia...
TCBB
2008
73views more  TCBB 2008»
15 years 6 months ago
Nature Reserve Selection Problem: A Tight Approximation Algorithm
The Nature Reserve Selection Problem is a problem that arises in the context of studying biodiversity conservation. Subject to budgetary constraints, the problem is to select a set...
Magnus Bordewich, Charles Semple
NIPS
1992
15 years 7 months ago
Filter Selection Model for Generating Visual Motion Signals
Neurons in area MT of primate visual cortex encode the velocity of moving objects. We present a model of how MT cells aggregate responses from V1 to form such a velocity represent...
Steven J. Nowlan, Terrence J. Sejnowski
SDM
2008
SIAM
122views Data Mining» more  SDM 2008»
15 years 7 months ago
Type-Independent Correction of Sample Selection Bias via Structural Discovery and Re-balancing
Sample selection bias is a common problem in many real world applications, where training data are obtained under realistic constraints that make them follow a different distribut...
Jiangtao Ren, Xiaoxiao Shi, Wei Fan, Philip S. Yu