Semantic segmentation with millions of features: Integrating multiple cues in a combined random forest approach

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

Volumn 7724 LNCS, Issue PART 1, 2013, Pages 218-231

  Fröhlich, Björn ^a   Rodner, Erik ^a   Denzler, Joachim ^a  

^a FRIEDRICH SCHILLER UNIVERSITY JENA   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

CONTEXT FEATURES; CONTEXT MODELING; IN-DEPTH ANALYSIS; ITERATIVE FRAMEWORK; MULTIPLE FEATURES; PERFORMANCE GAIN; RANDOM DECISION TREES; SEMANTIC SEGMENTATION;

FEATURE EXTRACTION; ITERATIVE METHODS;

DECISION TREES;

EID: 84875901025     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-37331-2_17     Document Type: Conference Paper

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