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» Towards a Combined Approach to Feature Selection
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ICPR
2008
IEEE
14 years 3 months ago
A Mixed Markov model for change detection in aerial photos with large time differences
In the paper we propose a novel multi-layer Mixed Markov model for detecting relevant changes in registered aerial images taken with significant time differences. The introduced ...
Csaba Benedek, Tamás Szirányi
MIRAGE
2009
Springer
14 years 3 months ago
A Bag of Words Approach for 3D Object Categorization
In this paper we propose a novel framework for 3D object categorization. The object is modeled it in terms of its sub-parts as an histogram of 3D visual word occurrences. We introd...
Roberto Toldo, Umberto Castellani, Andrea Fusiello
CVPR
2006
IEEE
14 years 10 months ago
Spatial Divide and Conquer with Motion Cues for Tracking through Clutter
Tracking can be considered a two-class classification problem between the foreground object and its surrounding background. Feature selection to better discriminate object from ba...
Zhaozheng Yin, Robert T. Collins
AOSD
2008
ACM
13 years 10 months ago
Edicts: implementing features with flexible binding times
In a software product line, the binding time of a feature is the time at which one decides to include or exclude a feature from a product. Typical binding site implementations are...
Venkat Chakravarthy, John Regehr, Eric Eide
CVPR
2010
IEEE
13 years 9 months ago
High performance object detection by collaborative learning of Joint Ranking of Granules features
Object detection remains an important but challenging task in computer vision. We present a method that combines high accuracy with high efficiency. We adopt simplified forms of...
Chang Huang, Ramakant Nevatia