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TROB
2002
118views more  TROB 2002»
13 years 4 months ago
The odometry error of a mobile robot with a synchronous drive system
This paper presents an error modeling of an odometry system for a synchronous-drive system and a possible strategy for evaluating this error. The odometry error is modeled by intro...
Agostino Martinelli
JMLR
2002
89views more  JMLR 2002»
13 years 4 months ago
A Robust Minimax Approach to Classification
When constructing a classifier, the probability of correct classification of future data points should be maximized. We consider a binary classification problem where the mean and...
Gert R. G. Lanckriet, Laurent El Ghaoui, Chiranjib...
AUTOMATICA
2002
97views more  AUTOMATICA 2002»
13 years 4 months ago
Frequency-domain subspace system identification using non-parametric noise models
- In the general case of non-uniformly spaced frequency domain data and/or arbitrarily colored disturbing noise, the frequency domain subspace identification algorithms described i...
Rik Pintelon
TSP
2008
148views more  TSP 2008»
13 years 4 months ago
Statistically Robust Design of Linear MIMO Transceivers
The treatment of channel state information (CSI) is critical in the design of MIMO systems. Accurate CSI at the transmitter is often not possible or may require high feedback rate...
Xi Zhang, Daniel Pérez Palomar, Björn ...
TSP
2008
103views more  TSP 2008»
13 years 4 months ago
Bounds for Estimation of Covariance Matrices From Heterogeneous Samples
Abstract--This correspondence derives lower bounds on the meansquare error (MSE) for the estimation of a covariance matrix , using samples k = 1; . . . ; K, whose covariance matric...
Olivier Besson, Stéphanie Bidon, Jean-Yves ...
TSP
2008
113views more  TSP 2008»
13 years 4 months ago
Covariance Matrix Estimation With Heterogeneous Samples
We consider the problem of estimating the covariance matrix of an observation vector, using heterogeneous training samples, i.e., samples whose covariance matrices are not exactly ...
Olivier Besson, Stéphanie Bidon, Jean-Yves ...
JCB
2007
198views more  JCB 2007»
13 years 4 months ago
Bayesian Hierarchical Model for Large-Scale Covariance Matrix Estimation
Many bioinformatics problems can implicitly depend on estimating large-scale covariance matrix. The traditional approaches tend to give rise to high variance and low accuracy esti...
Dongxiao Zhu, Alfred O. Hero III
TDP
2008
67views more  TDP 2008»
13 years 4 months ago
Generating Sufficiency-based Non-Synthetic Perturbed Data
The mean vector and covariance matrix are sufficient statistics when the un derlying distribution is multivariate normal. Many type of statistical analyses used in practice rely on...
Krishnamurty Muralidhar, Rathindra Sarathy
PR
2008
144views more  PR 2008»
13 years 4 months ago
Kernel quadratic discriminant analysis for small sample size problem
It is generally believed that quadratic discriminant analysis (QDA) can better fit the data in practical pattern recognition applications compared to linear discriminant analysis ...
Jie Wang, Konstantinos N. Plataniotis, Juwei Lu, A...
JSAC
2006
89views more  JSAC 2006»
13 years 4 months ago
Robust multiuser detection for multicarrier CDMA systems
Abstract--Multiuser detection (MUD) for code-division multiple-access (CDMA) systems usually relies on some a priori channel estimates, which are obtained either blindly or by usin...
Rensheng Wang, Hongbin Li, Tao Li