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NIPS
2008
13 years 9 months ago
Analyzing human feature learning as nonparametric Bayesian inference
Almost all successful machine learning algorithms and cognitive models require powerful representations capturing the features that are relevant to a particular problem. We draw o...
Joseph Austerweil, Thomas L. Griffiths
FGR
1998
IEEE
179views Biometrics» more  FGR 1998»
14 years 18 days ago
User Localisation for Visually-Based Human-Machine-Interaction
Recently there is an increasing interest in video based interface techniques, allowing more natural interaction between users and systems than common interface devices do. Here, w...
Hans-Joachim Böhme, Ulf-Dietrich Braumann, An...
CVPR
2008
IEEE
14 years 10 months ago
Context and observation driven latent variable model for human pose estimation
Current approaches to pose estimation and tracking can be classified into two categories: generative and discriminative. While generative approaches can accurately determine human...
Abhinav Gupta, Trista Chen, Francine Chen, Don Kim...
IPMI
2001
Springer
14 years 9 months ago
Statistical Study on Cortical Sulci of Human Brains
A method for building a statistical shape model of sulci of the human brain cortex is described. The model includes sulcal fundi that are defined on a spherical map of the cortex. ...
Xiaodong Tao, Xiao Han, Maryam E. Rettmann, Jerry ...
ICB
2009
Springer
190views Biometrics» more  ICB 2009»
14 years 2 months ago
Robust Human Detection under Occlusion by Integrating Face and Person Detectors
Human detection under occlusion is a challenging problem in computer vision. We address this problem through a framework which integrates face detection and person detection. We ï¬...
William Robson Schwartz, Raghuraman Gopalan, Rama ...