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» Learning Models for Object Recognition
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CVPR
2007
IEEE
15 years 3 days ago
Closed-Loop Tracking and Change Detection in Multi-Activity Sequences
We present a novel framework for tracking of a long sequence of human activities, including the time instances of change from one activity to the next, using a closed-loop, non-li...
Bi Song, Namrata Vaswani, Amit K. Roy Chowdhury
ICCV
2001
IEEE
15 years 6 hour ago
Human Tracking with Mixtures of Trees
Tree-structured probabilistic models admit simple, fast inference. However, they are not well suited to phenomena such as occlusion, where multiple components of an object may dis...
Sergey Ioffe, David A. Forsyth
BIRD
2007
Springer
14 years 2 months ago
An Evaluation of Text Retrieval Methods for Similarity Search of Multi-dimensional NMR-Spectra
Abstract. Searching and mining nuclear magnetic resonance (NMR)spectra of naturally occurring substances is an important task to investigate new potentially useful chemical compoun...
Alexander Hinneburg, Andrea Porzel, Karina Wolfram
TEC
2008
104views more  TEC 2008»
13 years 10 months ago
Coevolution of Fitness Predictors
Abstract--We present an algorithm that coevolves fitness predictors, optimized for the solution population, which reduce fitness evaluation cost and frequency, while maintaining ev...
Michael D. Schmidt, Hod Lipson
JZUSC
2010
133views more  JZUSC 2010»
13 years 8 months ago
Image driven shape deformation using styles
: In this paper, we propose an image driven shape deformation approach for stylizing a 3D mesh using styles learned from existing 2D illustrations. Our approach models a 2D illustr...
Guang-hua Tan, Wei Chen, Li-gang Liu