Evolving mean shift with adaptive bandwidth: A fast and noise robust approach

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5994 LNCS, Issue PART 1, 2010, Pages 258-268

  Zhao, Qi ^a   Yang, Zhi ^a   Tao, Hai ^a   Liu, Wentai ^a  

^a University of California Santa Cruz   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE BANDWIDTH; DATA DENSITY; DATA SETS; ENERGY FUNCTIONS; EXPONENTIAL RATES; LOCAL FEATURE; MEAN SHIFT; NEURAL SPIKE; NOISY DATA; NON-PARAMETRIC; ROBUST APPROACHES;

COMPUTER VISION; EXPONENTIAL FUNCTIONS; IMAGE SEGMENTATION; NEURAL NETWORKS; TARGET TRACKING;

CLUSTERING ALGORITHMS;

EID: 78650472868     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-12307-8_24     Document Type: Conference Paper

References (8)

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