Large-scale Gaussian process classification using random decision forests

Pattern Recognition and Image Analysis

Volumn 22, Issue 1, 2012, Pages 113-120

  Frohlich B ^a   Rodner, E ^a   Kemmler, M ^a   Denzler, J ^a  

^a FRIEDRICH SCHILLER UNIVERSITY JENA   (Germany)

Author keywords

Gaussian processes; random decision forests

Indexed keywords

CLASSIFICATION ACCURACY; CLASSIFICATION PERFORMANCE; CLASSIFICATION TASKS; COMPUTATIONAL SPEED; DECISION FOREST; FAST LEARNING; GAUSSIAN PROCESS CLASSIFICATIONS; GAUSSIAN PROCESSES; MODELING TOOL; NON-PARAMETRIC; NONLINEAR BEHAVIOR; PLACE RECOGNITION; STANDARD MACHINES; TRAINING SETS; TRAINING TIME;

DECISION TREES; FORESTRY; GAUSSIAN DISTRIBUTION; LEARNING SYSTEMS;

GAUSSIAN NOISE (ELECTRONIC);

DECISION THEORY; FORESTRY; RANDOM PROCESSES;

EID: 84859057089     PISSN: 10546618     EISSN: 15556212     Source Type: Journal    
DOI: 10.1134/S1054661812010166     Document Type: Article

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