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» Machine Learning, Machine Vision, and the Brain
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ICML
2006
IEEE
15 years 10 months ago
Hidden process models
We introduce Hidden Process Models (HPMs), a class of probabilistic models for multivariate time series data. The design of HPMs has been motivated by the challenges of modeling h...
Rebecca Hutchinson, Tom M. Mitchell, Indrayana Rus...
SMC
2010
IEEE
132views Control Systems» more  SMC 2010»
14 years 8 months ago
Selection of SIFT feature points for scene description in robot vision
This paper presents a method for selection of SIFT(Scale-Invariant Feature Transform) feature points using OC-SVM (One Class-Support Vector Machines). We proposed the method for au...
Yuya Utsumi, Masahiro Tsukada, Hirokazu Madokoro, ...
ISBI
2008
IEEE
15 years 10 months ago
Quantified brain asymmetry for age estimation of normal and AD/MCI subjects
We propose a quantified asymmetry based method for age estimation. Our method uses machine learning to discover automatically the most discriminative asymmetry feature set from di...
Leonid Teverovskiy, James T. Becker, Oscar L. Lope...
77
Voted
ICALT
2007
IEEE
15 years 3 months ago
Teaching Science subjects to Blind Students
Access to the disciplines of science, Technology, Engineering and Mathematics (STEM) for blind and vision impaired people continues to be a problem. The inherently visual nature o...
Donal Fitzpatrick
71
Voted
ECCV
2004
Springer
15 years 11 months ago
Reliable Fiducial Detection in Natural Scenes
Reliable detection of fiducial targets in real-world images is addressed in this paper. We show that even the best existing schemes are fragile when exposed to other than laborator...
David Claus, Andrew W. Fitzgibbon