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» A New Discriminative Kernel From Probabilistic Models
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AFRIGRAPH
2007
ACM
15 years 3 months ago
Generic computation of bulletin boards into geometric kernels
Nowadays, many commercial CAD systems are built on proprietary geometric kernels which provide an API containing a set of high level geometric operations (boolean operations, slot...
Mehdi Baba-ali, David Marcheix, Xavier Skapin, Yve...
CGF
2004
93views more  CGF 2004»
14 years 11 months ago
Prototype Modeling from Sketched Silhouettes based on Convolution Surfaces
This paper presents a hybrid method for creating three-dimensional shapes by sketching silhouette curves. Given a silhouette curve, we approximate its medial axis as a set of line...
Chiew-Lan Tai, Hongxin Zhang, Jacky Chun-Kin Fong
ICML
2009
IEEE
16 years 19 days ago
Learning structurally consistent undirected probabilistic graphical models
In many real-world domains, undirected graphical models such as Markov random fields provide a more natural representation of the dependency structure than directed graphical mode...
Sushmita Roy, Terran Lane, Margaret Werner-Washbur...
ICPR
2010
IEEE
14 years 10 months ago
Robust ECG Biometrics by Fusing Temporal and Cepstral Information
—The use of vital signs as a biometric is a potentially viable approach in a variety of application scenarios such as security and personalized health care. In this paper, a nove...
Ming Li, Shrikanth Narayanan
NIPS
2004
15 years 1 months ago
Harmonising Chorales by Probabilistic Inference
We describe how we used a data set of chorale harmonisations composed by Johann Sebastian Bach to train Hidden Markov Models. Using a probabilistic framework allows us to create a...
Moray Allan, Christopher K. I. Williams