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188
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ICIP
2007
IEEE
15 years 10 months ago
Unsupervised Nonlinear Manifold Learning
This communication deals with data reduction and regression. A set of high dimensional data (e.g., images) usually has only a few degrees of freedom with corresponding variables t...
Matthieu Brucher, Christian Heinrich, Fabrice Heit...
IPPS
2010
IEEE
15 years 4 months ago
Reconciling scratch space consumption, exposure, and volatility to achieve timely staging of job input data
Innovative scientific applications and emerging dense data sources are creating a data deluge for highend computing systems. Processing such large input data typically involves cop...
Henry M. Monti, Ali Raza Butt, Sudharshan S. Vazhk...
163
Voted
VLSID
2004
IEEE
111views VLSI» more  VLSID 2004»
16 years 7 months ago
Improved Approach for Noise Propagation to Identify Functional Noise Violations
This paper targets at reducing the crosstalk noise closure time by filtering the set of false violations. We propose two approaches to reduce the pessimism in the crosstalk noise ...
Sachin Shrivastava, Dhanoop Varghese, Vikas Narang...
ISMIS
2005
Springer
16 years 11 days ago
Normal Forms for Knowledge Compilation
A class of formulas called factored negation normal form is introduced. They are closely related to BDDs, but there is a DPLL-like tableau procedure for computing them that operate...
Reiner Hähnle, Neil V. Murray, Erik Rosenthal
AI
2001
Springer
15 years 11 months ago
The Bottom-Up Freezing: An Approach to Neural Engineering
This paper presents a new pruning method to determine a nearly optimum multi-layer neural network structure. The aim of the proposed method is to reduce the size of the network by ...
Ali Farzan, Ali A. Ghorbani