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CORR
2010
Springer
95views Education» more  CORR 2010»
14 years 11 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»
13 years 7 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
79
Voted
TSP
2008
115views more  TSP 2008»
14 years 10 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»
14 years 11 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
100
Voted
ECCV
2008
Springer
16 years 1 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