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122
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ICASSP
2009
IEEE
15 years 10 months ago
Real-time dynamic MR image reconstruction using Kalman Filtered Compressed Sensing
In recent work, Kalman Filtered Compressed Sensing (KF-CS) was proposed to causally reconstruct time sequences of sparse signals, from a limited number of “incoherent” measure...
Chenlu Qiu, Wei Lu, Namrata Vaswani
124
Voted
IMC
2005
ACM
15 years 9 months ago
Improving Sketch Reconstruction Accuracy Using Linear Least Squares Method
Sketch is a sublinear space data structure that allows one to approximately reconstruct the value associated with any given key in an input data stream. It is the basis for answer...
Gene Moo Lee, Huiya Liu, Young Yoon, Yin Zhang
101
Voted
ICPR
2002
IEEE
16 years 4 months ago
Hexagonal Image Representation for 3-D Photorealistic Reconstruction
A new data structure for representing the color of rays from multiple-view images is presented. The structure is a hexagonal tessellation generated from a buckyball. Using the str...
Hidenori Sato, Hiroto Matsuoka, Akira Onozawa, Hit...
150
Voted
CRV
2005
IEEE
192views Robotics» more  CRV 2005»
15 years 9 months ago
3D Reconstruction of Environments for Planetary Exploration
In this paper we present our approach to 3D surface reconstruction from large sparse range data sets. In space robotics constructing an accurate model of the environment is very i...
Sebastien Gemme, Joseph Nsasi Bakambu, Ioannis M. ...
164
Voted
ICUMT
2009
15 years 1 months ago
A Bayesian analysis of Compressive Sensing data recovery in Wireless Sensor Networks
Abstract--In this paper we address the task of accurately reconstructing a distributed signal through the collection of a small number of samples at a data gathering point using Co...
Riccardo Masiero, Giorgio Quer, Michele Rossi, Mic...