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COLING
2008
15 years 8 months ago
Scaling up Analogical Learning
Recent years have witnessed a growing interest in analogical learning for NLP applications. If the principle of analogical learning is quite simple, it does involve complex steps ...
Philippe Langlais, François Yvon
ECCV
2004
Springer
16 years 9 months ago
Parallel Variational Motion Estimation by Domain Decomposition and Cluster Computing
We present an approach to parallel variational optical flow computation on standard hardware by domain decomposition. Using an arbitrary partition of the image plane into rectangul...
Timo Kohlberger, Christoph Schnörr, Andr&eacu...
IPPS
2009
IEEE
16 years 1 months ago
A metascalable computing framework for large spatiotemporal-scale atomistic simulations
A metascalable (or “design once, scale on new architectures”) parallel computing framework has been developed for large spatiotemporal-scale atomistic simulations of materials...
Ken-ichi Nomura, Richard Seymour, Weiqiang Wang, H...
ISPAN
2002
IEEE
16 years 6 days ago
Automatic Processor Lower Bound Formulas for Array Computations
In the directed acyclic graph (dag) model of algorithms, consider the following problem for precedence-constrained multiprocessor schedules for array computations: Given a sequenc...
Peter R. Cappello, Ömer Egecioglu
ECCV
2006
Springer
15 years 11 months ago
Computing Emotion Awareness Through Facial Electromyography
To improve human-computer interaction (HCI), computers need to recognize and respond properly to their user's emotional state. This is a fundamental application of affective c...
Egon L. van den Broek, Marleen H. Schut, Joyce H. ...