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JMM2
2008
92views more  JMM2 2008»
13 years 7 months ago
Dimensionality Reduction using SOM based Technique for Face Recognition
Unsupervised or Self-Organized learning algorithms have become very popular for discovery of significant patterns or features in the input data. The three prominent algorithms name...
Dinesh Kumar, C. S. Rai, Shakti Kumar
SODA
2000
ACM
127views Algorithms» more  SODA 2000»
13 years 9 months ago
Dimensionality reduction techniques for proximity problems
In this paper we give approximation algorithms for several proximity problems in high dimensional spaces. In particular, we give the rst Las Vegas data structure for (1 + )-neares...
Piotr Indyk
WSC
2000
13 years 8 months ago
Variance reduction techniques for value-at-risk with heavy-tailed risk factors
The calculation of value-at-risk (VAR) for large portfolios of complex instruments is among the most demanding and widespread computational challenges facing the financial industr...
Paul Glasserman, Philip Heidelberger, Perwez Shaha...
ICASSP
2007
IEEE
14 years 1 months ago
Discriminating Two Types of Noise Sources using Cortical Representation and Dimension Reduction Technique
Content-based audio classification techniques have focused on classifying events that are both semantically and perceptually distinct (such as speech, music, environmental sounds...
Shiva Sundaram, Shrikanth Narayanan
DAC
2006
ACM
14 years 8 months ago
Self-calibration technique for reduction of hold failures in low-power nano-scaled SRAM
Increasing source voltage (Source-Biasing) is an efficient technique for reducing gate and sub-threshold leakage of SRAM arrays. However, due to process variation, a higher source...
Swaroop Ghosh, Saibal Mukhopadhyay, Kee-Jong Kim, ...