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» Lossy Reduction for Very High Dimensional Data
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SSPR
2004
Springer
15 years 5 months ago
Feature Shaving for Spectroscopic Data
High-resolution spectroscopy is a powerful industrial tool. The number of features (wavelengths) in these data sets varies from several hundreds up to a thousand. Relevant feature ...
Serguei Verzakov, Pavel Paclík, Robert P. W...
VLDB
1999
ACM
118views Database» more  VLDB 1999»
15 years 4 months ago
Similarity Search in High Dimensions via Hashing
The nearest- or near-neighbor query problems arise in a large variety of database applications, usually in the context of similarity searching. Of late, there has been increasing ...
Aristides Gionis, Piotr Indyk, Rajeev Motwani
INCDM
2010
Springer
159views Data Mining» more  INCDM 2010»
15 years 4 months ago
Semi-supervised Learning for False Alarm Reduction
Abstract. Intrusion Detection Systems (IDSs) which have been deployed in computer networks to detect a wide variety of attacks are suffering how to manage of a large number of tri...
Chien-Yi Chiu, Yuh-Jye Lee, Chien-Chung Chang, Wen...
ASAP
2005
IEEE
169views Hardware» more  ASAP 2005»
15 years 5 months ago
Alleviating the Data Memory Bandwidth Bottleneck in Coarse-Grained Reconfigurable Arrays
It is widely known that parallel operation execution in multiprocessor systems generates a respective increase in memory accesses. Since the memory and bus subsystems provide a li...
Grigoris Dimitroulakos, Michalis D. Galanis, Costa...
IDEAL
2004
Springer
15 years 5 months ago
Visualisation of Distributions and Clusters Using ViSOMs on Gene Expression Data
Microarray datasets are often too large to visualise due to the high dimensionality. The self-organising map has been found useful to analyse massive complex datasets. It can be us...
Swapna Sarvesvaran, Hujun Yin