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CE
2004
153views more  CE 2004»
15 years 6 months ago
Let's get physical: The learning benefits of interacting in digitally augmented physical spaces
Much computer-based learning is largely passive, based primarily on task-based, exercise-driven interactions. We argue that computers have greater potential for promoting more act...
Sara Price, Yvonne Rogers
PAMI
2002
112views more  PAMI 2002»
15 years 5 months ago
Feature Space Trajectory Methods for Active Computer Vision
We advance new active object recognition algorithms that classify rigid objects and estimate their pose from intensity images. Our algorithms automatically detect if the class or p...
Michael A. Sipe, David Casasent
187
Voted
NAR
2007
136views more  NAR 2007»
15 years 5 months ago
DBAli tools: mining the protein structure space
The DBAli tools use a comprehensive set of structural alignments in the DBAli database to leverage the structural information deposited in the Protein Data Bank (PDB). These tools...
Marc A. Martí-Renom, Ursula Pieper, Mallur ...
ECAI
2010
Springer
15 years 3 months ago
Feature Selection by Approximating the Markov Blanket in a Kernel-Induced Space
The proposed feature selection method aims to find a minimum subset of the most informative variables for classification/regression by efficiently approximating the Markov Blanket ...
Qiang Lou, Zoran Obradovic
TVCG
2011
125views more  TVCG 2011»
15 years 1 months ago
Video Painting with Space-Time-Varying Style Parameters
—Artists use different means of stylization to control the focus on different objects in the scene. This allows them to portray complex meaning and achieve certain artistic effec...
Mizuki Kagaya, William Brendel, Qingqing Deng, Tod...