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136
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ICCV
2003
IEEE
16 years 4 months ago
A Sparse Probabilistic Learning Algorithm for Real-Time Tracking
This paper addresses the problem of applying powerful pattern recognition algorithms based on kernels to efficient visual tracking. Recently Avidan [1] has shown that object recog...
Oliver M. C. Williams, Andrew Blake, Roberto Cipol...
SIGMOD
2010
ACM
324views Database» more  SIGMOD 2010»
15 years 7 months ago
Similarity search and locality sensitive hashing using ternary content addressable memories
Similarity search methods are widely used as kernels in various data mining and machine learning applications including those in computational biology, web search/clustering. Near...
Rajendra Shinde, Ashish Goel, Pankaj Gupta, Debojy...
136
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ICRA
2002
IEEE
141views Robotics» more  ICRA 2002»
15 years 7 months ago
Movement Imitation with Nonlinear Dynamical Systems in Humanoid Robots
This article presents a new approach to movement planning, on-line trajectory modification, and imitation learning by representing movement plans based on a set of nonlinear diļ¬...
Auke Jan Ijspeert, Jun Nakanishi, Stefan Schaal
CDC
2009
IEEE
159views Control Systems» more  CDC 2009»
15 years 7 months ago
A distributed machine learning framework
Abstract— A distributed online learning framework for support vector machines (SVMs) is presented and analyzed. First, the generic binary classification problem is decomposed in...
Tansu Alpcan, Christian Bauckhage
ECCV
2006
Springer
16 years 4 months ago
Studying Aesthetics in Photographic Images Using a Computational Approach
Aesthetics, in the world of art and photography, refers to the principles of the nature and appreciation of beauty. Judging beauty and other aesthetic qualities of photographs is a...
Ritendra Datta, Dhiraj Joshi, Jia Li, James Ze Wan...