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» On Conditions for Linearity of Optimal Estimation
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TSP
2008
116views more  TSP 2008»
13 years 7 months ago
Nonideal Sampling and Regularization Theory
Shannon's sampling theory and its variants provide effective solutions to the problem of reconstructing a signal from its samples in some "shift-invariant" space, wh...
Sathish Ramani, Dimitri Van De Ville, Thierry Blu,...
CJ
1999
126views more  CJ 1999»
13 years 7 months ago
Source Level Static Branch Prediction
The ability to predict the directions of branches, especially conditional branches, is an important problem in modern computer architecture and advanced compilers. Many static and...
W. F. Wong
VLSISP
1998
111views more  VLSISP 1998»
13 years 7 months ago
Quantitative Analysis of MR Brain Image Sequences by Adaptive Self-Organizing Finite Mixtures
This paper presents an adaptive structure self-organizing finite mixture network for quantification of magnetic resonance (MR) brain image sequences. We present justification fo...
Yue Wang, Tülay Adali, Chi-Ming Lau, Sun-Yuan...
CVPR
2010
IEEE
1373views Computer Vision» more  CVPR 2010»
14 years 3 months ago
Harmony Potentials for Joint Classification and Segmentation
Hierarchical conditional random fields have been successfully applied to object segmentation. One reason is their ability to incorporate contextual information at different scales....
Xavier Boix, Josep M. Gonfaus, Joost van de Weijer...
ICRA
2010
IEEE
158views Robotics» more  ICRA 2010»
13 years 5 months ago
A measurement distribution framework for cooperative navigation using multiple AUVs
Abstract-- In recent years underwater survey and surveillance missions with more than a single Autonomous Underwater Vehicle (AUV) have become more common thanks to more reliable a...
Maurice F. Fallon, Georgios Papadopoulos, John J. ...