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SCIA
2009
Springer
305views Image Analysis» more  SCIA 2009»
15 years 4 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
ICC
2007
IEEE
185views Communications» more  ICC 2007»
15 years 3 months ago
Maximal Lifetime Rate and Power Allocation for Sensor Networks with Data Distortion Constraints
— We address a lifetime maximization problem for a single-hop wireless sensor network where multiple sensors encode and communicate their measurements of a Gaussian random source...
James C. F. Li, Subhrakanti Dey, Jamie S. Evans
BIOINFORMATICS
2010
138views more  BIOINFORMATICS 2010»
14 years 9 months ago
Robust unmixing of tumor states in array comparative genomic hybridization data
Motivation: Tumorigenesis is an evolutionary process by which tumor cells acquire sequences of mutations leading to increased growth, invasiveness, and eventually metastasis. It i...
David Tolliver, Charalampos E. Tsourakakis, Ayshwa...
TIT
2008
141views more  TIT 2008»
14 years 9 months ago
Dimensionality Reduction for Distributed Estimation in the Infinite Dimensional Regime
Distributed estimation of an unknown signal is a common task in sensor networks. The scenario usually envisioned consists of several nodes, each making an observation correlated wi...
Olivier Roy, Martin Vetterli
CG
2005
Springer
14 years 9 months ago
Sketch-based free-form shape modelling with a fast and stable numerical engine
In this paper, we present a feature-based free-form shape modelling technique based on solving a fundamental problem of reconstructing the depth information from 2D sketch planes....
Yong-Jin Liu, Kai Tang, Ajay Joneja