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CANDC
2009
ACM
15 years 10 months ago
A sub-symbolic model of the cognitive processes of re-representation and insight
We present a sub-symbolic computational model for effecting knowledge re-representation and insight. Given a set of data, manifold learning is used to automatically organize the d...
Dan Ventura
BMCBI
2011
14 years 7 months ago
Acorn: A grid computing system for constraint based modeling and visualization of the genome scale metabolic reaction networks v
Background: Constraint-based approaches facilitate the prediction of cellular metabolic capabilities, based, in turn on predictions of the repertoire of enzymes encoded in the gen...
Jacek Sroka, Lukasz Bieniasz-Krzywiec, Szymon Gwoz...
153
Voted
MCU
2007
113views Hardware» more  MCU 2007»
15 years 5 months ago
On the Computational Capabilities of Several Models
We review some results about the computational power of several computational models. Considered models have in common to be related to continuous dynamical systems. 1 Dynamical Sy...
Olivier Bournez, Emmanuel Hainry
ICDAR
2007
IEEE
15 years 10 months ago
Energy-Based Models in Document Recognition and Computer Vision
The Machine Learning and Pattern Recognition communities are facing two challenges: solving the normalization problem, and solving the deep learning problem. The normalization pro...
Yann LeCun, Sumit Chopra, Marc'Aurelio Ranzato, Fu...
CRV
2007
IEEE
145views Robotics» more  CRV 2007»
15 years 10 months ago
Can Lucas-Kanade be used to estimate motion parallax in 3D cluttered scenes?
When an observer moves in a 3D static scene, the motion field depends on the depth of the visible objects and on the observer’s instantaneous translation and rotation. By compu...
Vincent Chapdelaine-Couture, Michael S. Langer