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» Dimensionality reduction and generalization
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JMLR
2010
119views more  JMLR 2010»
13 years 4 months ago
Hubs in Space: Popular Nearest Neighbors in High-Dimensional Data
Different aspects of the curse of dimensionality are known to present serious challenges to various machine-learning methods and tasks. This paper explores a new aspect of the dim...
Milos Radovanovic, Alexandros Nanopoulos, Mirjana ...
JMLR
2010
186views more  JMLR 2010»
13 years 4 months ago
Dimensionality Estimation, Manifold Learning and Function Approximation using Tensor Voting
We address instance-based learning from a perceptual organization standpoint and present methods for dimensionality estimation, manifold learning and function approximation. Under...
Philippos Mordohai, Gérard G. Medioni
TCAD
2008
172views more  TCAD 2008»
13 years 10 months ago
General Methodology for Soft-Error-Aware Power Optimization Using Gate Sizing
Power consumption has emerged as the premier and most constraining aspect in modern microprocessor and application-specific designs. Gate sizing has been shown to be one of the mos...
Foad Dabiri, Ani Nahapetian, Tammara Massey, Miodr...
CVPR
2005
IEEE
14 years 12 months ago
Discriminant Analysis with Tensor Representation
In this paper, we present a novel approach to solving the supervised dimensionality reduction problem by encoding an image object as a general tensor of 2nd or higher order. First...
Shuicheng Yan, Dong Xu, Qiang Yang, Lei Zhang, Xia...
IPPS
2006
IEEE
14 years 4 months ago
Elementary block based 2-dimensional dynamic and partial reconfiguration for Virtex-II FPGAs
The development of Field Programmable Gate Arrays (FPGAs) had tremendous improvements in the last few years. They were extended from simple logic circuits to complex Systems-on-Ch...
Michael Hübner, Christian Schuck, Jürgen...