Supervised learning of Gaussian mixture models for visual vocabulary generation

Pattern Recognition

Volumn 45, Issue 2, 2012, Pages 897-907

  Fernando, Basura ^a,b,c   Fromont, Elisa ^a,b,c   Muselet, Damien ^a,b,c   Sebban, Marc ^a,b,c  

^a UNIVERSITÉ DE LYON   (France)

^b UNIVERSITÉ JEAN MONNET   (France)

^c UNIVERSITÉ JEAN MONNET   (France)

Author keywords

Bags of visual words; Dictionary generation; Expectation Maximization algorithm; Supervised Gaussian mixture model

Indexed keywords

CONVEX COMBINATIONS; DATA FITTINGS; DATA SETS; DESCRIPTORS; DICTIONARY GENERATION; EXPECTATION-MAXIMIZATION ALGORITHMS; GAUSSIAN MIXTURE MODEL; K-MEANS; K-MEANS ALGORITHM; STATE OF THE ART; SUM OF SQUARES; TRAINING DATA; UNSUPERVISED CLUSTERING ALGORITHM; VISUAL VOCABULARIES; VISUAL WORD;

COMMUNICATION CHANNELS (INFORMATION THEORY); GAUSSIAN DISTRIBUTION; IMAGE ANALYSIS; IMAGE CLASSIFICATION; IMAGE SEGMENTATION; LEARNING ALGORITHMS; OBJECT RECOGNITION; SUPERVISED LEARNING;

CLUSTERING ALGORITHMS;

EID: 80052967000     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2011.07.021     Document Type: Article

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