Boosting feature selection for Neural Network based regression

Neural Networks

Volumn 22, Issue 5-6, 2009, Pages 748-756

  Bailly, Kevin ^a   Milgram, Maurice ^a  

^a UNIVERSITÉ PIERRE ET MARIE CURIE   (France)

Author keywords

Boosting; Fuzzy functional criterion; Input feature selection; Regression

Indexed keywords

BOOSTING; BOOSTING FEATURE SELECTION; CONVOLUTIONAL NEURAL NETWORK; FACE IMAGES; FEATURE SELECTION; FUZZY FUNCTIONAL CRITERION; HAAR-LIKE WAVELETS; HARD PROBLEMS; HEAD POSE ESTIMATION; HIGH ANGULAR RESOLUTIONS; HIGH DIMENSIONALITY; IMAGE PIXELS; INPUT FEATURE SELECTION; JOINT PROBABILITY DENSITY FUNCTION; MUTUAL INFORMATIONS; POTENTIAL FEATURES; REGRESSION; STATE-OF-THE-ART METHODS; STRATEGY USE; TILT ANGLE;

COMPUTER VISION; ESTIMATION; HUMAN COMPUTER INTERACTION; KNOWLEDGE MANAGEMENT; NEURAL NETWORKS; PROBABILITY DENSITY FUNCTION; REGRESSION ANALYSIS;

FEATURE EXTRACTION;

ACCURACY; ANALYTICAL ERROR; ARTICLE; ARTIFICIAL NEURAL NETWORK; CONTROLLED STUDY; FUZZY SYSTEM; IMAGE PROCESSING; INTERMETHOD COMPARISON; PRIORITY JOURNAL; PROBABILITY; REGRESSION ANALYSIS;

ALGORITHMS; DATABASES, FACTUAL; FACE; FUZZY LOGIC; HUMANS; NEURAL NETWORKS (COMPUTER); NONLINEAR DYNAMICS; PHOTIC STIMULATION; PROBABILITY; REGRESSION ANALYSIS;

EID: 68149181697     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neunet.2009.06.039     Document Type: Article

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