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» Dimensionality reduction and generalization
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177
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JMLR
2010
119views more  JMLR 2010»
15 years 3 days 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»
15 years 3 days 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
157
Voted
TCAD
2008
172views more  TCAD 2008»
15 years 5 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
16 years 7 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
15 years 11 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...