Schroedinger eigenmaps for the analysis of biomedical data

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 35, Issue 5, 2013, Pages 1274-1280

  Czaja, Wojciech ^a   Ehler, Martin ^b,c  

^a Bldg 142   (United States)

^b INSTITUTE OF EPIDEMIOLOGY   (Germany)

^c EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH AND HUMAN DEVELOPMENT   (United States)

Author keywords

barrier potential; dimension reduction; Laplacian Eigenmaps; manifold learning; Schroedinger Eigenmaps; Schroedinger operator on a graph

Indexed keywords

BARRIER POTENTIAL; DIMENSION REDUCTION; LAPLACIAN EIGENMAPS; MANIFOLD LEARNING; SCHROEDINGER EIGENMAPS; SCHROEDINGER OPERATOR ON A GRAPH;

ARTIFICIAL INTELLIGENCE;

COMPUTER VISION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BREAST TUMOR; CLASSIFICATION; DATA MINING; FACTUAL DATABASE; FEMALE; HEART DISEASE; HUMAN; MEDICAL RESEARCH; METHODOLOGY; PATHOLOGY; RETINA DISEASE; STATISTICAL ANALYSIS;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BIOMEDICAL RESEARCH; BREAST NEOPLASMS; DATA INTERPRETATION, STATISTICAL; DATA MINING; DATABASES, FACTUAL; FEMALE; HEART DISEASES; HUMANS; PATTERN RECOGNITION, AUTOMATED; RETINAL DISEASES;

EID: 84875418338     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2012.270     Document Type: Article

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