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» Super-Resolution with Adaptive Regularization
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CVPR
2011
IEEE
14 years 5 months ago
Blind Deconvolution Using A Normalized Sparsity Measure
Blind image deconvolution is an ill-posed problem that requires regularization to solve. However, many common forms of image prior used in this setting have a major drawback in th...
Dilip Krishnan, Rob Fergus
KDD
2012
ACM
254views Data Mining» more  KDD 2012»
13 years 6 days ago
Playlist prediction via metric embedding
Digital storage of personal music collections and cloud-based music services (e.g. Pandora, Spotify) have fundamentally changed how music is consumed. In particular, automatically...
Shuo Chen, Josh L. Moore, Douglas Turnbull, Thorst...
AAAI
2012
13 years 5 days ago
POMDPs Make Better Hackers: Accounting for Uncertainty in Penetration Testing
Penetration Testing is a methodology for assessing network security, by generating and executing possible hacking attacks. Doing so automatically allows for regular and systematic...
Carlos Sarraute, Olivier Buffet, Jörg Hoffman...
AOSD
2005
ACM
15 years 3 months ago
Adaptive programming in JAsCo
In this paper we propose an extension to JAsCo for supporting Adaptive Programming in a Component-Based Software Development context. JAsCo is an aspect-oriented programming langu...
Wim Vanderperren, Davy Suvée, Bart Verheeck...
ICIP
2007
IEEE
15 years 11 months ago
Edge Sensitive Variational Image Thresholding
In this paper we propose a locally adaptive image threshold technique via variational energy minimization. The novelty of the proposed method is that from an image it automaticall...
Nilanjan Ray, Baidya Nath Saha