Object recognition using proportion-based prior information: Application to fisheries acoustics

Pattern Recognition Letters

Volumn 32, Issue 2, 2011, Pages 153-158

  Lefort, R ^a,b   Fablet, R ^b   Boucher, J M ^b  

^a IFREMER   (France)

^b LAB STICC   (France)

Author keywords

Discriminative classification model; Generative classification model; Weakly supervised learning

Indexed keywords

CLASSIFICATION METHODS; CLASSIFICATION MODELS; DATA SETS; DISCRIMINATIVE MODELS; FISHERIES ACOUSTICS; LEARNING METHODS; MODEL LEARNING; NON-LINEAR; NONLINEAR VERSIONS; OBJECT CLASS; PRESENCE/ABSENCE; PRIOR INFORMATION; PROBABILISTIC CLASSIFICATION MODELS; TRAINING DATA SETS; WEAKLY SUPERVISED LEARNING;

FISHERIES; OBJECT RECOGNITION;

SUPERVISED LEARNING;

EID: 78049493031     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2010.10.001     Document Type: Article

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