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EMMCVPR
2009
Springer
15 years 1 months ago
Reconstructing Optical Flow Fields by Motion Inpainting
An edge-sensitive variational approach for the restoration of optical flow fields is presented. Real world optical flow fields are frequently corrupted by noise, reflection artifac...
Benjamin Berkels, Claudia Kondermann, Christoph S....
GECCO
2007
Springer
182views Optimization» more  GECCO 2007»
15 years 3 months ago
Generating large-scale neural networks through discovering geometric regularities
Connectivity patterns in biological brains exhibit many repeating motifs. This repetition mirrors inherent geometric regularities in the physical world. For example, stimuli that ...
Jason Gauci, Kenneth O. Stanley
82
Voted
ICDM
2007
IEEE
159views Data Mining» more  ICDM 2007»
15 years 1 months ago
Spectral Regression: A Unified Approach for Sparse Subspace Learning
Recently the problem of dimensionality reduction (or, subspace learning) has received a lot of interests in many fields of information processing, including data mining, informati...
Deng Cai, Xiaofei He, Jiawei Han
WWW
2008
ACM
15 years 10 months ago
Better abstractions for secure server-side scripting
bstractions for Secure Server-Side Scripting Dachuan Yu Ajay Chander Hiroshi Inamura Igor Serikov DoCoMo Communications Laboratories USA 3240 Hillview Avenue Palo Alto, CA 94304 {y...
Dachuan Yu, Ajay Chander, Hiroshi Inamura, Igor Se...
GECCO
2010
Springer
158views Optimization» more  GECCO 2010»
15 years 29 days ago
Efficiently evolving programs through the search for novelty
A significant challenge in genetic programming is premature convergence to local optima, which often prevents evolution from solving problems. This paper introduces to genetic pro...
Joel Lehman, Kenneth O. Stanley