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MICCAI
2009
Springer
16 years 1 months ago
On the Manifold Structure of the Space of Brain Images
This paper investigates an approach to model the space of brain images through a low-dimensional manifold. A data driven method to learn a manifold from a collections of brain imag...
Samuel Gerber, Tolga Tasdizen, Sarang C. Joshi, Ro...
ISMB
1993
15 years 8 months ago
Protein Structure Prediction: Selecting Salient Features from Large Candidate Pools
Weintroduce a parallel approach, "DT-SELECT," for selecting features used by inductive learning algorithms to predict protein secondary structure. DT-SELECTis able to ra...
Kevin J. Cherkauer, Jude W. Shavlik
DKE
2006
139views more  DKE 2006»
15 years 6 months ago
Information extraction from structured documents using k-testable tree automaton inference
Information extraction (IE) addresses the problem of extracting specific information from a collection of documents. Much of the previous work on IE from structured documents, suc...
Raymond Kosala, Hendrik Blockeel, Maurice Bruynoog...
AUTOMATICA
2005
126views more  AUTOMATICA 2005»
15 years 6 months ago
Relations between uncertainty structures in identification for robust control
Various techniques of system identification exist that provide a nominal model and an uncertainty bound. An important question is what the implications are for the particular choi...
Sippe G. Douma, Paul M. J. Van den Hof
ICCAD
2001
IEEE
144views Hardware» more  ICCAD 2001»
16 years 3 months ago
Faster SAT and Smaller BDDs via Common Function Structure
The increasing popularity of SAT and BDD techniques in verification and synthesis encourages the search for additional speed-ups. Since typical SAT and BDD algorithms are exponent...
Fadi A. Aloul, Igor L. Markov, Karem A. Sakallah