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CORR
2010
Springer
95views Education» more  CORR 2010»
13 years 7 months ago
Statistical Compressive Sensing of Gaussian Mixture Models
A new framework of compressive sensing (CS), namely statistical compressive sensing (SCS), that aims at efficiently sampling a collection of signals that follow a statistical dist...
Guoshen Yu, Guillermo Sapiro
MMM
2012
Springer
283views Multimedia» more  MMM 2012»
12 years 2 months ago
A Novel Multi-modal Integration and Propagation Model for Cross-Media Information Retrieval
In this paper, we present a novel PLSA-based aspect model and turn cross-media retrieval into two parts of multi-modal integration and correlation propagation. We first use multiva...
Wanxia Lin, Tong Lu, Feng Su
TSP
2008
115views more  TSP 2008»
13 years 5 months ago
The Estimation of Laplace Random Vectors in Additive White Gaussian Noise
This paper develops and compares the maximum a posteriori (MAP) and minimum mean-square error (MMSE) estimators for spherically contoured multivariate Laplace random vectors in add...
Ivan W. Selesnick
IJCV
2002
157views more  IJCV 2002»
13 years 7 months ago
Estimation of Error in Curvature Computation on Multi-Scale Free-Form Surfaces
A novel technique for multi-scale curvature computation on a free-form 3-D surface is presented. This is achieved by convolving local parametrisations of the surface with 2-D Gauss...
Farzin Mokhtarian, Nasser Khalili, Peter Yuen
ECCV
2008
Springer
14 years 9 months ago
Online Sparse Matrix Gaussian Process Regression and Vision Applications
We present a new Gaussian Process inference algorithm, called Online Sparse Matrix Gaussian Processes (OSMGP), and demonstrate its merits with a few vision applications. The OSMGP ...
Ananth Ranganathan, Ming-Hsuan Yang