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171
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TIT
2008
141views more  TIT 2008»
15 years 4 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
TVCG
2008
147views more  TVCG 2008»
15 years 4 months ago
Interactive Visual Steering - Rapid Visual Prototyping of a Common Rail Injection System
Interactive steering with visualization has been a common goal of the visualization research community for twenty years, but it is rarely ever realized in practice. In this paper w...
Kresimir Matkovic, Denis Gracanin, Mario Jelovic, ...
SENSYS
2010
ACM
15 years 2 months ago
Meeting ecologists' requirements with adaptive data acquisition
Ecologists instrument ecosystems to collect time series representing the evolution in time and space of relevant abiotic and biotic factors. Sensor networks promise to improve on ...
Marcus Chang, Philippe Bonnet
180
Voted
CORR
2011
Springer
167views Education» more  CORR 2011»
14 years 11 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...
TMI
2011
182views more  TMI 2011»
14 years 11 months ago
Active Volume Models for Medical Image Segmentation
—In this paper, we propose a novel predictive model, active volume model (AVM), for object boundary extraction. It is a dynamic “object” model whose manifestation includes a ...
Tian Shen, Hongsheng Li, Xiaolei Huang