Stacked spatial-pyramid kernel: An object-class recognition method to combine scores from random trees

2011 IEEE Workshop on Applications of Computer Vision, WACV 2011

Volumn , Issue , 2011, Pages 329-335

  Larios, N ^a   Lin, J ^b   Zhang, M ^c   Lytle, D ^b   Moldenke, A ^b   Shapiro, L ^a   Dietterich, T ^b  

^a UNIVERSITY OF WASHINGTON   (United States)

^b OREGON STATE UNIVERSITY   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

3D POSITIONS; BIOMONITORING; CLASSIFICATION ACCURACY; CLASSIFICATION APPROACH; CLASSIFICATION METHODS; COMPLEMENTARY FEATURES; DATA SETS; FEATURE SPACE; FEATURE TYPES; INPUT DATAS; INTRA-CLASS VARIATION; LOCAL FEATURE; MULTIPLE CLASSIFIERS; RANDOM TREE; RECOGNITION METHODS; RELATIVE POSITIONS; SPATIAL INFORMATIONS; SPECIES IDENTIFICATION; STACKING FRAMEWORK; STACKING METHOD; STREAM WATER QUALITY; TEST DATA;

COMBINES; COMPUTER APPLICATIONS; COMPUTER VISION; DEGRADATION; FEATURE EXTRACTION; INFORMATION USE; OBJECT RECOGNITION; STATISTICAL TESTS; WATER POLLUTION; WATER QUALITY;

CLASSIFICATION (OF INFORMATION);

EID: 79952531252     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WACV.2011.5711522     Document Type: Conference Paper

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