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» Combining Simple Models to Approximate Complex Dynamics
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CVPR
2008
IEEE
15 years 4 months ago
3D face tracking and expression inference from a 2D sequence using manifold learning
We propose a person-dependent, manifold-based approach for modeling and tracking rigid and nonrigid 3D facial deformations from a monocular video sequence. The rigid and nonrigid ...
Wei-Kai Liao, Gérard G. Medioni
ISCAS
2002
IEEE
153views Hardware» more  ISCAS 2002»
15 years 2 months ago
Biological learning modeled in an adaptive floating-gate system
We have implemented an aspect of learning and memory in the nervous system using analog electronics. Using a simple synaptic circuit we realize networks with Hebbian type adaptati...
Christal Gordon, Paul E. Hasler
BMCBI
2005
158views more  BMCBI 2005»
14 years 10 months ago
Automated generation of heuristics for biological sequence comparison
Background: Exhaustive methods of sequence alignment are accurate but slow, whereas heuristic approaches run quickly, but their complexity makes them more difficult to implement. ...
Guy St. C. Slater, Ewan Birney
CDC
2008
IEEE
101views Control Systems» more  CDC 2008»
15 years 4 months ago
Modeling and control of the heart left ventricle supported with a rotary assist device
—A Rotary Left Ventricular Assist Device (RLVAD) is a mechanical pump implanted in patients with congestive heart failure to assist their left ventricle in pumping blood through ...
Marwan A. Simaan
ECCV
2006
Springer
15 years 12 months ago
Efficient Belief Propagation with Learned Higher-Order Markov Random Fields
Belief propagation (BP) has become widely used for low-level vision problems and various inference techniques have been proposed for loopy graphs. These methods typically rely on a...
Xiangyang Lan, Stefan Roth, Daniel P. Huttenlocher...