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IJCV
2006
115views more  IJCV 2006»
13 years 5 months ago
An Analysis of Linear Subspace Approaches for Computer Vision and Pattern Recognition
: Linear subspace analysis (LSA) has become rather ubiquitous in a wide range of problems arising in pattern recognition and computer vision. The essence of these approaches is tha...
Pei Chen, David Suter
ICML
2005
IEEE
14 years 6 months ago
Healing the relevance vector machine through augmentation
The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...
Carl Edward Rasmussen, Joaquin Quiñonero Ca...
JMLR
2012
11 years 7 months ago
Fast interior-point inference in high-dimensional sparse, penalized state-space models
We present an algorithm for fast posterior inference in penalized high-dimensional state-space models, suitable in the case where a few measurements are taken in each time step. W...
Eftychios A. Pnevmatikakis, Liam Paninski
KDD
2007
ACM
244views Data Mining» more  KDD 2007»
14 years 5 months ago
A Recommender System Based on Local Random Walks and Spectral Methods
In this paper, we design recommender systems for weblogs based on the link structure among them. We propose algorithms based on refined random walks and spectral methods. First, w...
Zeinab Abbassi, Vahab S. Mirrokni
TSP
2008
123views more  TSP 2008»
13 years 5 months ago
MIMO Radar Space-Time Adaptive Processing Using Prolate Spheroidal Wave Functions
In the traditional transmitting beamforming radar system, the transmitting antennas send coherent waveforms which form a highly focused beam. In the multiple-input multipleoutput (...
Chun-Yang Chen, Palghat P. Vaidyanathan