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» Learning Distance Functions using Equivalence Relations
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ICIP
2007
IEEE
15 years 11 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
ETRA
2010
ACM
143views Biometrics» more  ETRA 2010»
15 years 4 months ago
Space-variant spatio-temporal filtering of video for gaze visualization and perceptual learning
We introduce an algorithm for space-variant filtering of video based on a spatio-temporal Laplacian pyramid and use this algorithm to render videos in order to visualize prerecor...
Michael Dorr, Halszka Jarodzka, Erhardt Barth
NIPS
1996
14 years 11 months ago
Why did TD-Gammon Work?
Although TD-Gammon is one of the major successes in machine learning, it has not led to similar impressive breakthroughs in temporal difference learning for other applications or ...
Jordan B. Pollack, Alan D. Blair
ML
2012
ACM
385views Machine Learning» more  ML 2012»
13 years 5 months ago
An alternative view of variational Bayes and asymptotic approximations of free energy
Bayesian learning, widely used in many applied data-modeling problems, is often accomplished with approximation schemes because it requires intractable computation of the posterio...
Kazuho Watanabe
SIGOPS
1998
123views more  SIGOPS 1998»
14 years 9 months ago
A New Family of Authentication Protocols
Abstract. We present a related family of authentication and digital signature protocols based on symmetric cryptographic primitives which perform substantially better than previous...
Ross J. Anderson, Francesco Bergadano, Bruno Crisp...