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» Gradients for Retinotectal Mapping
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175
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GECCO
2010
Springer
230views Optimization» more  GECCO 2010»
15 years 10 months ago
Exponential natural evolution strategies
The family of natural evolution strategies (NES) offers a principled approach to real-valued evolutionary optimization by following the natural gradient of the expected fitness....
Tobias Glasmachers, Tom Schaul, Yi Sun, Daan Wiers...
150
Voted
VIS
2007
IEEE
107views Visualization» more  VIS 2007»
16 years 7 months ago
Semantic Layers for Illustrative Volume Rendering
Direct volume rendering techniques map volumetric attributes (e.g., density, gradient magnitude, etc.) to visual styles. Commonly this mapping is specified by a transfer function. ...
Peter Rautek, Stefan Bruckner, M. Eduard Grölle...
MICCAI
2007
Springer
16 years 6 months ago
Object Localization Based on Markov Random Fields and Symmetry Interest Points
We present an approach to detect anatomical structures by configurations of interest points, from a single example image. The representation of the configuration is based on Markov...
Branislav Micusík, Georg Langs, Horst Bisch...
179
Voted
CAIP
2009
Springer
257views Image Analysis» more  CAIP 2009»
15 years 3 months ago
On the Recovery of Depth from a Single Defocused Image
Abstract. In this paper we address the challenging problem of recovering the depth of a scene from a single image using defocus cue. To achieve this, we first present a novel appro...
Shaojie Zhuo, Terence Sim
184
Voted
ICIAP
2007
ACM
15 years 7 months ago
A New Stereo Algorithm Integrating Luminance, Gradient and Segmentation Informations in a Belief-Propagation Framework
The paper deals with the design and implementation of a stereo algorithm. Disparity map is formulated as a Markov Random Field with a new smoothness constraint depending not only ...
Nello Balossino, Maurizio Lucenteforte, Luca Piova...