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ICCV
2009
IEEE
2301views Computer Vision» more  ICCV 2009»
15 years 24 days ago
Class Segmentation and Object Localization with Superpixel Neighborhoods
We propose a method to identify and localize object classes in images. Instead of operating at the pixel level, we advocate the use of superpixels as the basic unit of a class s...
Brian Fulkerson, Andrea Vedaldi, Stefano Soatto
JDA
2007
97views more  JDA 2007»
13 years 7 months ago
Local solutions for global problems in wireless networks
In this paper, we review a recently developed class of algorithms that solve global problems in unit distance wireless networks by means of local algorithms. A local algorithm is ...
Jorge Urrutia
JMLR
2010
367views more  JMLR 2010»
13 years 2 months ago
Locally Linear Denoising on Image Manifolds
We study the problem of image denoising where images are assumed to be samples from low dimensional (sub)manifolds. We propose the algorithm of locally linear denoising. The algor...
Dian Gong, Fei Sha, Gérard G. Medioni
ICPR
2008
IEEE
14 years 2 months ago
Ranking the local invariant features for the robust visual saliencies
Local invariant feature based methods have been proven to be effective in computer vision for object recognition and learning. But for an image, the number of points detected and ...
Shengping Xia, Peng Ren, Edwin R. Hancock
PODC
2010
ACM
13 years 11 months ago
Brief announcement: exponential speed-up of local algorithms using non-local communication
We demonstrate how to leverage a system’s capability for allto-all communication to achieve an exponential speed-up of local algorithms despite bandwidth and memory restrictions...
Christoph Lenzen, Roger Wattenhofer