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» Objective reduction using a feature selection technique
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TCSV
2010
14 years 10 months ago
Compressed Domain Video Object Segmentation
We propose a compressed domain video object segmentation method for MPEG or MPEG-like encoded videos. Computational superiority is the main advantage of the compressed domain proc...
Fatih Murat Porikli, Faisal I. Bashir, Huifang Sun
133
Voted
CGF
2008
144views more  CGF 2008»
15 years 3 months ago
High Performance GPU-based Proximity Queries using Distance Fields
Proximity queries such as closest point computation and collision detection have many applications in computer graphics, including computer animation, physics-based modeling, augm...
T. Morvan, M. Reimers, E. Samset
147
Voted
ANOR
2007
92views more  ANOR 2007»
15 years 3 months ago
Portfolio selection with probabilistic utility
We present a novel portfolio selection technique, which replaces the traditional maximization of the utility function with a probabilistic approach inspired by statistical physics....
Robert Marschinski, Pietro Rossi, Massimo Tavoni, ...
143
Voted
SOCO
2007
Springer
15 years 9 months ago
Streamlining Feature-Oriented Designs
Abstract. Software development for embedded systems gains momentum but faces many challenges. Especially the constraints of deeply embedded systems, i.e., extreme resource and perf...
Martin Kuhlemann, Sven Apel, Thomas Leich
KDD
2002
ACM
170views Data Mining» more  KDD 2002»
16 years 3 months ago
Enhanced word clustering for hierarchical text classification
In this paper we propose a new information-theoretic divisive algorithm for word clustering applied to text classification. In previous work, such "distributional clustering&...
Inderjit S. Dhillon, Subramanyam Mallela, Rahul Ku...