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ICONIP
2004
14 years 11 months ago
Non-linear Dimensionality Reduction by Locally Linear Isomaps
Algorithms for nonlinear dimensionality reduction (NLDR) find meaningful hidden low-dimensional structures in a high-dimensional space. Current algorithms for NLDR are Isomaps, Loc...
Ashutosh Saxena, Abhinav Gupta, Amitabha Mukerjee
NCA
2002
IEEE
14 years 9 months ago
Comparison of Algorithmic and Machine Learning Approaches for the Automatic Fitting of Gaussian Peaks
Fitting gaussian peaks to experimental data is important in many disciplines, including nuclear spectroscopy. Nonlinear least squares fitting methods have been in use for a long t...
Radwan E. Abdel-Aal
TKDE
2008
141views more  TKDE 2008»
14 years 9 months ago
Location Fingerprinting In A Decorrelated Space
We present a novel approach to the problem of the indoor localization in wireless environments. The main contribution of this paper is four folds: (a) We show that, by projecting t...
Shih-Hau Fang, Tsung-Nan Lin, Po-Chiang Lin
CORR
2010
Springer
168views Education» more  CORR 2010»
14 years 8 months ago
Adding HL7 version 3 data types to PostgreSQL
The HL7 standard is widely used to exchange medical information electronically. As a part of the standard, HL7 defines scalar communication data types like physical quantity, poin...
Yeb Havinga, Willem Dijkstra, Ander de Keijzer
PROCEDIA
2011
14 years 13 days ago
10x10: A General-purpose Architectural Approach to Heterogeneity and Energy Efficiency
Two decades of microprocessor architecture driven by quantitative 90/10 optimization has delivered an extraordinary 1000-fold improvement in microprocessor performance, enabled by...
Andrew A. Chien, Allan Snavely, Mark Gahagan