Biologically inspired feature manifold for scene classification

IEEE Transactions on Image Processing

Volumn 19, Issue 1, 2010, Pages 174-184

  Song, Dongjin ^a   Tao, Dacheng ^a  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

Biologically inspired feature; Dimensionality reduction; Image retrieval; Manifold learning; Scene classification

Indexed keywords

BIOLOGICALLY INSPIRED; CLASSIFICATION RATES; COLOR CHANNELS; COLOR IMAGES; DATA SETS; DIMENSIONALITY REDUCTION; DIMENSIONALITY REDUCTION ALGORITHMS; EMPIRICAL STUDIES; EUCLIDEAN DISTANCE; HIGH DIMENSIONAL SPACES; HIGH-DIMENSIONAL; IMAGE-BASED; INTRINSIC STRUCTURES; LOW DIMENSIONAL; LOW-DIMENSIONAL MANIFOLDS; LOW-DIMENSIONAL SPACES; MANIFOLD LEARNING; MULTICLASS SUPPORT VECTOR MACHINES; SCENE CLASSIFICATION; TRAINING SPEED;

SUPPORT VECTOR MACHINES;

IMAGE RETRIEVAL;

ALGORITHM; ARTICLE; BIOLOGICAL MODEL; IMAGE PROCESSING; METHODOLOGY; PHYSIOLOGY; PRINCIPAL COMPONENT ANALYSIS; VISUAL CORTEX;

ALGORITHMS; IMAGE PROCESSING, COMPUTER-ASSISTED; MODELS, BIOLOGICAL; PRINCIPAL COMPONENT ANALYSIS; VISUAL CORTEX;

EID: 72949123287     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2009.2032939     Document Type: Article

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