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105
Voted
ICPR
2008
IEEE
16 years 1 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
105
Voted
CVPR
2006
IEEE
15 years 6 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
101
Voted
PG
2000
IEEE
15 years 5 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, ...
IPPS
2003
IEEE
15 years 5 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
97
Voted
IDA
2009
Springer
15 years 7 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...