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CORR
2011
Springer
167views Education» more  CORR 2011»
14 years 4 months ago
Fast global convergence of gradient methods for high-dimensional statistical recovery
Many statistical M-estimators are based on convex optimization problems formed by the weighted sum of a loss function with a norm-based regularizer. We analyze the convergence rat...
Alekh Agarwal, Sahand Negahban, Martin J. Wainwrig...
DSD
2002
IEEE
96views Hardware» more  DSD 2002»
15 years 2 months ago
Networks on Silicon: Blessing or Nightmare?
Continuing VLSI technology scaling raises several deep submicron (DSM) problems like relatively slow interconnect, power dissipation and distribution, and signal integrity. Those ...
Paul Wielage, Kees G. W. Goossens
CVPR
2000
IEEE
15 years 11 months ago
A General Method for Errors-in-Variables Problems in Computer Vision
The Errors-in-Variables (EIV) model from statistics is often employed in computer vision thoughonlyrarely under this name. In an EIV model all the measurements are corrupted by no...
Bogdan Matei, Peter Meer
KDD
2003
ACM
269views Data Mining» more  KDD 2003»
15 years 10 months ago
Maximizing the spread of influence through a social network
Models for the processes by which ideas and influence propagate through a social network have been studied in a number of domains, including the diffusion of medical and technolog...
David Kempe, Jon M. Kleinberg, Éva Tardos
MOBICOM
2006
ACM
15 years 3 months ago
Analysis and implications of student contact patterns derived from campus schedules
Characterizing mobility or contact patterns in a campus environment is of interest for a variety of reasons. Existing studies of these patterns can be classified into two basic a...
Vikram Srinivasan, Mehul Motani, Wei Tsang Ooi