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» An Algorithm for Intrinsic Dimensionality Estimation
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155
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TSP
2011
152views more  TSP 2011»
14 years 10 months ago
Blind Adaptive Constrained Constant-Modulus Reduced-Rank Interference Suppression Algorithms Based on Interpolation and Switched
—This work proposes a blind adaptive reduced-rank scheme and constrained constant-modulus (CCM) adaptive algorithms for interference suppression in wireless communications system...
Rodrigo C. de Lamare, Raimundo Sampaio Neto, Marti...
157
Voted
ICCV
2001
IEEE
16 years 5 months ago
Euclidean Reconstruction and Auto-Calibration from Continuous Motion
This paper deals with the problem of incorporating natural regularity conditions on the motion in an MAP estimator for structure and motion recovery from uncalibrated image sequen...
Fredrik Kahl, Anders Heyden
146
Voted
COMPLIFE
2006
Springer
15 years 7 months ago
Set-Oriented Dimension Reduction: Localizing Principal Component Analysis Via Hidden Markov Models
We present a method for simultaneous dimension reduction and metastability analysis of high dimensional time series. The approach is based on the combination of hidden Markov model...
Illia Horenko, Johannes Schmidt-Ehrenberg, Christo...
182
Voted
ICCV
2005
IEEE
15 years 9 months ago
Robust Point Matching for Two-Dimensional Nonrigid Shapes
Recently, nonrigid shape matching has received more and more attention. For nonrigid shapes, most neighboring points cannot move independently under deformation due to physical co...
Yefeng Zheng, David S. Doermann
132
Voted
ICIP
2007
IEEE
16 years 5 months ago
Direct Motion Estimation in the Radon Transform Domain using Match-Profile Backprojections
Integral projections have been proposed as an efficient method to reduce the dimensionality of the search space in motion estimation (ME) algorithms. A number of papers describe m...
Chris Bartels, Gerard de Haan