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CVPR
2010
IEEE
16 years 3 months ago
Unsupervised Learning of Invariant Features Using Video
We present an algorithm that learns invariant features from real data in an entirely unsupervised fashion. The principal benefit of our method is that it can be applied without hu...
David Stavens, Sebastian Thrun
SCIA
2009
Springer
305views Image Analysis» more  SCIA 2009»
16 years 1 months ago
A Convex Approach to Low Rank Matrix Approximation with Missing Data
Many computer vision problems can be formulated as low rank bilinear minimization problems. One reason for the success of these problems is that they can be efficiently solved usin...
Carl Olsson, Magnus Oskarsson
HM
2007
Springer
137views Optimization» more  HM 2007»
16 years 1 months ago
A Hybrid VNS for Connected Facility Location
The connected facility location (ConFL) problem generalizes the facility location problem and the Steiner tree problem in graphs. Given a graph G = (V, E), a set of customers D ⊆...
Ivana Ljubic
LCN
2005
IEEE
16 years 14 days ago
Simulated Annealing based Localization in Wireless Sensor Network
— In this paper, we describe a novel localization method for ad hoc wireless sensor networks. Accurate selforganization and localization is an essential characteristic of high pe...
Anushiya A. Kannan, Guoqiang Mao, Branka Vucetic
ASPDAC
2005
ACM
97views Hardware» more  ASPDAC 2005»
16 years 13 days ago
Opportunities and challenges for better than worst-case design
The progressive trend of fabrication technologies towards the nanometer regime has created a number of new physical design challenges for computer architects. Design complexity, u...
Todd M. Austin, Valeria Bertacco, David Blaauw, Tr...
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