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» An Algorithm for Intrinsic Dimensionality Estimation
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ICML
2006
IEEE
16 years 16 days ago
Bayesian regression with input noise for high dimensional data
This paper examines high dimensional regression with noise-contaminated input and output data. Goals of such learning problems include optimal prediction with noiseless query poin...
Jo-Anne Ting, Aaron D'Souza, Stefan Schaal
IJCV
2000
82views more  IJCV 2000»
14 years 11 months ago
Linear Differential Algorithm for Motion Recovery: A Geometric Approach
The aim of this paper is to explore a linear geometric algorithm for recovering the three dimensional motion of a moving camera from image velocities. Generic similarities and diff...
Yi Ma, Jana Kosecka, Shankar Sastry
CORR
2007
Springer
76views Education» more  CORR 2007»
14 years 11 months ago
Some problems in asymptotic convex geometry and random matrices motivated by numerical algorithms
Abstract. The simplex method in Linear Programming motivates several problems of asymptotic convex geometry. We discuss some conjectures and known results in two related directions...
Roman Vershynin
ECML
2005
Springer
15 years 5 months ago
Estimation of Mixture Models Using Co-EM
We study estimation of mixture models for problems in which multiple views of the instances are available. Examples of this setting include clustering web pages or research papers ...
Steffen Bickel, Tobias Scheffer
97
Voted
CVPR
2008
IEEE
16 years 1 months ago
Robust tensor factorization using R1 norm
Over the years, many tensor based algorithms, e.g. two dimensional principle component analysis (2DPCA), two dimensional singular value decomposition (2DSVD), high order SVD, have...
Heng Huang, Chris H. Q. Ding