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» SURF: Speeded Up Robust Features
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ITS
2010
Springer
157views Multimedia» more  ITS 2010»
13 years 11 months ago
A Computational Model of Accelerated Future Learning through Feature Recognition
Accelerated future learning, in which learning proceeds more effectively and more rapidly because of prior learning, is considered to be one of the most interesting measures of ro...
Nan Li, William W. Cohen, Kenneth R. Koedinger
ICPR
2010
IEEE
14 years 10 days ago
Transitive Closure Based Visual Words for Point Matching in Video Sequence
We present Transitive Closure based visual word formation technique for obtaining robust object representations from smoothly varying multiple views. Each one of our visual words ...
Srikrishna Bhat, Marie-Odile Berger, Gilles Simon,...
JVCIR
2006
126views more  JVCIR 2006»
13 years 6 months ago
Efficient intra- and inter-mode selection algorithms for H.264/ AVC
Intra-frame mode selection and inter-frame mode selection are new features introduced in the H.264 standard. Intra-frame mode selection dramatically reduces spatial redundancy in ...
Andy C. Yu, King Ngi Ngan, Graham R. Martin
CIRA
2007
IEEE
274views Robotics» more  CIRA 2007»
14 years 1 months ago
Adaptive Object Tracking using Particle Swarm Optimization
—This paper presents an automatic object detection and tracking algorithm by using particle swarm optimization (PSO) based method, which is a searching algorithm inspired by the ...
Yuhua Zheng, Yan Meng
ICPR
2008
IEEE
14 years 1 months ago
On-line boosted cascade for object detection
On-line boosting is a recent advancement in the field of machine learning that has opened a new spectrum of possibilities in many diverse fields. With respect to a static strong...
Ingrid Visentini, Lauro Snidaro, Gian Luca Foresti