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SCIA
2009
Springer
305views Image Analysis» more  SCIA 2009»
15 years 11 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
GISCIENCE
2004
Springer
130views GIS» more  GISCIENCE 2004»
15 years 9 months ago
Comparing Exact and Approximate Spatial Auto-regression Model Solutions for Spatial Data Analysis
The spatial auto-regression (SAR) model is a popular spatial data analysis technique, which has been used in many applications with geo-spatial datasets. However, exact solutions f...
Baris M. Kazar, Shashi Shekhar, David J. Lilja, Ra...
INFOCOM
2007
IEEE
15 years 10 months ago
Nearly Constant Approximation for Data Aggregation Scheduling in Wireless Sensor Networks
Abstract— Data aggregation is a fundamental yet timeconsuming task in wireless sensor networks. We focus on the latency part of data aggregation. Previously, the data aggregation...
Scott C.-H. Huang, Peng-Jun Wan, Chinh T. Vu, Ying...
JOI
2007
99views more  JOI 2007»
15 years 4 months ago
Measuring quality of similarity functions in approximate data matching
This paper presents a method for assessing the quality of similarity functions. The scenario taken into account is that of approximate data matching, in which it is necessary to d...
Roberto da Silva, Raquel Kolitski Stasiu, Viviane ...
CORR
2006
Springer
127views Education» more  CORR 2006»
15 years 4 months ago
Approximating Rate-Distortion Graphs of Individual Data: Experiments in Lossy Compression and Denoising
Classical rate-distortion theory requires knowledge of an elusive source distribution. Instead, we analyze rate-distortion properties of individual objects using the recently devel...
Steven de Rooij, Paul M. B. Vitányi