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» On the Optimality of the Dimensionality Reduction Method
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JMLR
2012
13 years 8 months ago
Sparse Higher-Order Principal Components Analysis
Traditional tensor decompositions such as the CANDECOMP / PARAFAC (CP) and Tucker decompositions yield higher-order principal components that have been used to understand tensor d...
Genevera Allen
ICIP
2007
IEEE
16 years 7 months ago
Monocular Tracking 3D People By Gaussian Process Spatio-Temporal Variable Model
Tracking 3D people from monocular video is often poorly constrained. To mitigate this problem, prior knowledge should be exploited. In this paper, the Gaussian process spatio-temp...
Junbiao Pang, Laiyun Qing, Qingming Huang, Shuqian...
ICRA
1998
IEEE
116views Robotics» more  ICRA 1998»
15 years 10 months ago
Dimensional Analysis and Selective Distortion in Scaled Bilateral Telemanipulation
ThiJ puper addresses the issue of dynamic similarity and intensive property invariance in scaled bilateral naunipulation, and ofsers a design methodology bused on these considerat...
Michael Goldfarb
ASPDAC
1999
ACM
144views Hardware» more  ASPDAC 1999»
15 years 10 months ago
Model Order Reduction of Large Circuits Using Balanced Truncation
A method is introduced for model order reduction of large circuits extracted from layout. The algorithm, which is based on balanced realization, can be used for reducing the order ...
Payam Rabiei, Massoud Pedram
ICANN
1997
Springer
15 years 9 months ago
Topology Representing Networks for Intrinsic Dimensionality Estimation
Abstract. In this paper we compare two methods for intrinsic dimensionality (ID) estimation based on optimally topology preserving maps (OTPMs). The rst one is a direct approach, w...
Jörg Bruske, Gerald Sommer