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Volumn 8390, Issue , 2012, Pages

Euclidean commute time distance embedding and its application to spectral anomaly detection

Author keywords

Commute time distance; CTD subspace projection; Graph Laplacian; Hyperspectral image analysis; Remote sensing; Similarity graphs; Spectral anomaly detection

Indexed keywords

ALGORITHMS; IMAGE ANALYSIS; ITERATIVE METHODS; MATHEMATICAL TRANSFORMATIONS; MATRIX ALGEBRA; RANDOM PROCESSES; REMOTE SENSING; SPECTROSCOPY;

EID: 84881122602     PISSN: 0277786X     EISSN: 1996756X     Source Type: Conference Proceeding    
DOI: 10.1117/12.918411     Document Type: Conference Paper
Times cited : (18)

References (21)
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  • 8
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    • Random-walk computations of similarities between nodes of a graph with application to collaborative recommendation
    • Fouss, F., Pirotte, A., Renders, J.-M., and Saerens, M., "Random-walk computations of similarities between nodes of a graph with application to collaborative recommendation," IEEE Transactions on Knowledge and Data Engineering 19(3), 355-369 (2007).
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.