On the computation of the geodesic distance with an application to dimensionality reduction in a neuro-oncology problem

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

Volumn 7042 LNCS, Issue , 2011, Pages 483-490

  Cruz Barbosa, Raúl ^a   Bautista Villavicencio, David ^a   Vellido, Alfredo ^b  

^a UNIVERSIDAD TECNOLÓGICA DE LA MIXTECA   (Mexico)

^b UNIVERSITAT POLITÈCNICA DE CATALUNYA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

DATA SETS; DATA SPACE; DATA VARIANCE; DIJKSTRA'S SHORTEST PATH ALGORITHM; DIMENSIONALITY REDUCTION; DIMENSIONALITY REDUCTION METHOD; EUCLIDEAN DISTANCE; GEODESIC DISTANCES; GRAPH REPRESENTATION; HUMAN BRAIN; LOW-DIMENSIONAL MANIFOLDS; MANIFOLD LEARNING; MULTIVARIATE DATA; NEURO-ONCOLOGY; SOFTWARE MODULES;

BRAIN; COMPUTER VISION; EMBEDDED SOFTWARE;

GEODESY;

EID: 81855177135     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-25085-9_57     Document Type: Conference Paper

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