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» MML Invariant Linear Regression
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AUSAI
2009
Springer
13 years 11 months ago
MML Invariant Linear Regression
Abstract. This paper derives two new information theoretic linear regression criteria based on the minimum message length principle. Both criteria are invariant to full rank affine...
Daniel F. Schmidt, Enes Makalic
FGR
2006
IEEE
169views Biometrics» more  FGR 2006»
13 years 8 months ago
Local Linear Regression (LLR) for Pose Invariant Face Recognition
The variation of facial appearance due to the viewpoint (/pose) degrades face recognition systems considerably, which is well known as one of the bottlenecks in face recognition. ...
Xiujuan Chai, Shiguang Shan, Xilin Chen, Wen Gao
CDC
2008
IEEE
126views Control Systems» more  CDC 2008»
13 years 6 months ago
Subspace identification using predictor estimation via Gaussian regression
In this paper we propose a new nonparametric approach to identification of linear time invariant systems using subspace methods. The nonparametric paradigm to prediction of station...
Alessandro Chiuso, Gianluigi Pillonetto, Giuseppe ...
DEDS
2010
97views more  DEDS 2010»
13 years 4 months ago
On Regression-Based Stopping Times
We study approaches that fit a linear combination of basis functions to the continuation value function of an optimal stopping problem and then employ a greedy policy based on the...
Benjamin Van Roy
CORR
2010
Springer
92views Education» more  CORR 2010»
13 years 1 months ago
Regression on fixed-rank positive semidefinite matrices: a Riemannian approach
The paper addresses the problem of learning a regression model parameterized by a fixed-rank positive semidefinite matrix. The focus is on the nonlinear nature of the search space...
Gilles Meyer, Silvere Bonnabel, Rodolphe Sepulchre