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» Computer modelling and natural phenomena
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134
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ICPR
2008
IEEE
16 years 5 months ago
Evolving boundary detectors for natural images via Genetic Programming
Boundary detection constitutes a crucial step in many computer vision tasks. We present a novel learning approach to automatically construct a boundary detector for natural images...
Ilan Kadar, Moshe Sipper, Ohad Ben-Shahar
CVPR
2006
IEEE
15 years 10 months ago
Motion Patterns: High-Level Representation of Natural Video Sequences
This work investigates the use of nonlinear dependencies in natural image sequence statistics to learn higher-order structures in natural videos. We propose a two-layer model that...
Duangmanee Putthividhya, Te-Won Lee
PG
2000
IEEE
15 years 8 months ago
Rendering Iridescent Colors Appearing on Natural Objects
Iridescent colors appearing on natural objects, such as the feathers of a hummingbird, surfaces inside seashells, and shells of beetles, are beautiful and impressive. The cause of...
Hideki Hirayama, Yoshiki Yamaji, Kazufumi Kaneda, ...
127
Voted
IPPS
2003
IEEE
15 years 9 months ago
Natural Block Data Decomposition for Heterogeneous Clusters
We propose general purposes natural heuristics for static block and block-cyclic heterogeneous data decomposition over processes of parallel program mapped into multidimensional g...
Egor Dovolnov, Alexey Kalinov, Sergey Klimov
IDA
2009
Springer
15 years 10 months ago
Estimating Markov Random Field Potentials for Natural Images
Markov Random Field (MRF) models with potentials learned from the data have recently received attention for learning the low-level structure of natural images. A MRF provides a pri...
Urs Köster, Jussi T. Lindgren, Aapo Hyvä...