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ICANN
2005
Springer
16 years 9 days ago
Learning Features of Intermediate Complexity for the Recognition of Biological Motion
Humans can recognize biological motion from strongly impoverished stimuli, like point-light displays. Although the neural mechanism underlying this robust perceptual process have n...
Rodrigo Sigala, Thomas Serre, Tomaso Poggio, Marti...
ISSTA
2004
ACM
16 years 6 days ago
Covering arrays for efficient fault characterization in complex configuration spaces
—Many modern software systems are designed to be highly configurable so they can run on and be optimized for a wide variety of platforms and usage scenarios. Testing such systems...
Cemal Yilmaz, Myra B. Cohen, Adam A. Porter
IWCM
2004
Springer
16 years 4 days ago
Tracking Complex Objects Using Graphical Object Models
We present a probabilistic framework for component-based automatic detection and tracking of objects in video. We represent objects as spatio-temporal two-layer graphical models, w...
Leonid Sigal, Ying Zhu, Dorin Comaniciu, Michael J...
WG
2004
Springer
16 years 3 days ago
The Computational Complexity of the Minimum Weight Processor Assignment Problem
In portable multimedia systems a number of communicating tasks has to be performed on a set of heterogeneous processors. This should be done in an energy-efficient way. We give th...
Hajo Broersma, Daniël Paulusma, Gerard J. M. ...
GECCO
2006
Springer
161views Optimization» more  GECCO 2006»
15 years 10 months ago
The LEM3 implementation of learnable evolution model and its testing on complex function optimization problems
1 Learnable Evolution Model (LEM) is a form of non-Darwinian evolutionary computation that employs machine learning to guide evolutionary processes. Its main novelty are new type o...
Janusz Wojtusiak, Ryszard S. Michalski