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» Gaussian processes and limiting linear models
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ICIP
2008
IEEE
15 years 11 months ago
Kalman filtered Compressed Sensing
We consider the problem of reconstructing time sequences of spatially sparse signals (with unknown and time-varying sparsity patterns) from a limited number of linear "incohe...
Namrata Vaswani
ICIP
2007
IEEE
15 years 3 months ago
Distributed Compression of Multi-View Images using a Geometrical Coding Approach
In this paper, we propose a distributed compression approach for multi-view images, where each camera efficiently encodes its visual information locally without requiring any col...
Nicolas Gehrig, Pier Luigi Dragotti
ICA
2010
Springer
14 years 10 months ago
Blind Source Separation Based on Time-Frequency Sparseness in the Presence of Spatial Aliasing
In this paper, we propose a novel method for blind source separation (BSS) based on time-frequency sparseness (TF) that can estimate the number of sources and time-frequency masks,...
Benedikt Loesch, Bin Yang
CVPR
2009
IEEE
16 years 4 months ago
Learning General Optical Flow Subspaces for Egomotion Estimation and Detection of Motion Anomalies
This paper deals with estimation of dense optical flow and ego-motion in a generalized imaging system by exploiting probabilistic linear subspace constraints on the flow. We dea...
Richard Roberts (Georgia Institute of Technology),...
CISS
2007
IEEE
15 years 4 months ago
Cooperation Strategies for Two Co-located receivers, with no CSI at the transmitter
— We study the case of a single transmitter, which communicates to two co-located users, through an independent block Rayleigh fading channel. The co-location nature of the users...
Amichai Sanderovich, Avi Steiner, Shlomo Shamai