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DEXA
2009
Springer
175views Database» more  DEXA 2009»
14 years 1 months ago
RoK: Roll-Up with the K-Means Clustering Method for Recommending OLAP Queries
Dimension hierarchies represent a substantial part of the data warehouse model. Indeed they allow decision makers to examine data at different levels of detail with On-Line Analyt...
Fadila Bentayeb, Cécile Favre
SDM
2007
SIAM
182views Data Mining» more  SDM 2007»
13 years 8 months ago
Distance Preserving Dimension Reduction for Manifold Learning
Manifold learning is an effective methodology for extracting nonlinear structures from high-dimensional data with many applications in image analysis, computer vision, text data a...
Hyunsoo Kim, Haesun Park, Hongyuan Zha
ISQED
2009
IEEE
112views Hardware» more  ISQED 2009»
14 years 1 months ago
Estimation and optimization of reliability of noisy digital circuits
— With continued scaling, reliability is emerging as a critical challenge for the designers of digital circuits. The challenge stems in part from the lack of computationally efï¬...
Satish Sivaswamy, Kia Bazargan, Marc D. Riedel
DAGSTUHL
2010
13 years 8 months ago
Exploring Visualization Methods for Complex Variables
Applications of complex variables and related manifolds appear throughout mathematics and science. Here we review a family of basic methods for applying visualization concepts to ...
Andrew J. Hanson, Ji-Ping Sha
GLOBECOM
2009
IEEE
13 years 10 months ago
Near-ML Detection over a Reduced Dimension Hypersphere
Abstract--In this paper, we propose a near-maximum likelihood (ML) detection method referred to as reduced dimension ML search (RD-MLS). The RD-MLS detector is based on a partition...
Jun Won Choi, Byonghyo Shim, Andrew C. Singer