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» Efficient kernel feature extraction for massive data sets
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SSPR
2004
Springer
14 years 1 months ago
Optimizing Classification Ensembles via a Genetic Algorithm for a Web-Based Educational System
Classification fusion combines multiple classifications of data into a single classification solution of greater accuracy. Feature extraction aims to reduce the computational cost ...
Behrouz Minaei-Bidgoli, Gerd Kortemeyer, William F...
BMCBI
2010
154views more  BMCBI 2010»
13 years 7 months ago
EnvMine: A text-mining system for the automatic extraction of contextual information
Background: For ecological studies, it is crucial to count on adequate descriptions of the environments and samples being studied. Such a description must be done in terms of thei...
Javier Tamames, Victor de Lorenzo
BMVC
2010
13 years 5 months ago
Real-time Action Recognition by Spatiotemporal Semantic and Structural Forests
Whereas most existing action recognition methods require computationally demanding feature extraction and/or classification, this paper presents a novel real-time solution that ut...
Tsz-Ho Yu, Tae-Kyun Kim, Roberto Cipolla
VRCAI
2004
ACM
14 years 1 months ago
A novel approach to extract triangle strips for iso-surfaces in volumes
The Marching Cubes (MC) algorithm is a popular approach to extract iso-surfaces from volumetric data. This approach extracts triangles from the volume data for a specific iso-valu...
Jagannathan Lakshmipathy, Wieslaw L. Nowinski, Eri...
ECCV
2010
Springer
14 years 2 days ago
Efficiently Scaling Up Video Annotation with Crowdsourced Marketplaces
Accurately annotating entities in video is labor intensive and expensive. As the quantity of online video grows, traditional solutions to this task are unable to scale to meet the ...