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» A Two-Level Approach to Making Class Predictions
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119
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ALGORITHMICA
2006
74views more  ALGORITHMICA 2006»
15 years 1 months ago
Parallelizing Feature Selection
Classification is a key problem in machine learning/data mining. Algorithms for classification have the ability to predict the class of a new instance after having been trained on...
Jerffeson Teixeira de Souza, Stan Matwin, Nathalie...
IJRR
2010
110views more  IJRR 2010»
14 years 11 months ago
Object Detection and Tracking for Autonomous Navigation in Dynamic Environments
Abstract We address the problem of vision-based navigation in busy inner-city locations, using a stereo rig mounted on a mobile platform. In this scenario semantic information beco...
Andreas Ess, Konrad Schindler, Bastian Leibe, Luc ...
ICCV
2009
IEEE
16 years 6 months ago
Subspace Constrained Mean-Shift
Deformable model fitting has been actively pursued in the computer vision community for over a decade. As a result, numerous approaches have been proposed with varying degrees of...
Jason M. Saragih, Simon Lucey, Jeffrey F. Cohn
119
Voted
ICCV
2009
IEEE
14 years 11 months ago
Face alignment through subspace constrained mean-shifts
Deformable model fitting has been actively pursued in the computer vision community for over a decade. As a result, numerous approaches have been proposed with varying degrees of ...
Jason M. Saragih, Simon Lucey, Jeffrey F. Cohn
128
Voted
SIGMOD
1999
ACM
122views Database» more  SIGMOD 1999»
15 years 6 months ago
BOAT-Optimistic Decision Tree Construction
Classification is an important data mining problem. Given a training database of records, each tagged with a class label, the goal of classification is to build a concise model ...
Johannes Gehrke, Venkatesh Ganti, Raghu Ramakrishn...