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» Accelerating Large Data Analysis by Exploiting Regularities
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166
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DAMON
2006
Springer
15 years 7 months ago
Processing-in-memory technology for knowledge discovery algorithms
The goal of this work is to gain insight into whether processingin-memory (PIM) technology can be used to accelerate the performance of link discovery algorithms, which represent ...
Jafar Adibi, Tim Barrett, Spundun Bhatt, Hans Chal...
131
Voted
BMCBI
2010
268views more  BMCBI 2010»
15 years 3 months ago
A high-level 3D visualization API for Java and ImageJ
Background: Current imaging methods such as Magnetic Resonance Imaging (MRI), Confocal microscopy, Electron Microscopy (EM) or Selective Plane Illumination Microscopy (SPIM) yield...
Benjamin Schmid, Johannes E. Schindelin, Albert Ca...
133
Voted
ANCS
2009
ACM
15 years 1 months ago
Design and performance analysis of a DRAM-based statistics counter array architecture
The problem of maintaining efficiently a large number (say millions) of statistics counters that need to be updated at very high speeds (e.g. 40 Gb/s) has received considerable re...
Haiquan (Chuck) Zhao, Hao Wang, Bill Lin, Jun (Jim...
132
Voted
SDM
2004
SIAM
212views Data Mining» more  SDM 2004»
15 years 4 months ago
Clustering with Bregman Divergences
A wide variety of distortion functions, such as squared Euclidean distance, Mahalanobis distance, Itakura-Saito distance and relative entropy, have been used for clustering. In th...
Arindam Banerjee, Srujana Merugu, Inderjit S. Dhil...
BMCBI
2007
139views more  BMCBI 2007»
15 years 3 months ago
Significance analysis of microarray transcript levels in time series experiments
Background: Microarray time series studies are essential to understand the dynamics of molecular events. In order to limit the analysis to those genes that change expression over ...
Barbara Di Camillo, Gianna Toffolo, Sreekumaran K....