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ICIP
2007
IEEE
14 years 9 months ago
Large Scale Learning of Active Shape Models
We propose a framework to learn statistical shape models for faces as piecewise linear models. Specifically, our methodology builds upon primitive active shape models(ASM) to hand...
Atul Kanaujia, Dimitris N. Metaxas
ICIP
2009
IEEE
14 years 9 months ago
Detection Of Forgery In Paintings Using Supervised Learning
This paper examines whether machine learning and image analysis tools can be used to assist art experts in the authentication of unknown or disputed paintings. Recent work on this...
ICML
2004
IEEE
14 years 8 months ago
Learning random walk models for inducing word dependency distributions
Many NLP tasks rely on accurately estimating word dependency probabilities P(w1|w2), where the words w1 and w2 have a particular relationship (such as verb-object). Because of the...
Kristina Toutanova, Christopher D. Manning, Andrew...
SIGSOFT
2004
ACM
14 years 8 months ago
Efficient incremental algorithms for dynamic detection of likely invariants
Dynamic detection of likely invariants is a program analysis that generalizes over observed values to hypothesize program properties. The reported program properties are a set of ...
Jeff H. Perkins, Michael D. Ernst
ISBI
2004
IEEE
14 years 8 months ago
Reconstruction of 3D Dense Cardiac Motion From Tagged MR Sequences
This paper develops an energy minimization algorithm to reconstruct the 3D motion of transplanted hearts of small animals (rats) from tagged magnetic resonance (MR) sequences. We ...
Chien Ho, Hsun-Hsien Chang, José M. F. Mour...