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KDD
2004
ACM
118views Data Mining» more  KDD 2004»
14 years 6 months ago
Parallel computation of high dimensional robust correlation and covariance matrices
The computation of covariance and correlation matrices are critical to many data mining applications and processes. Unfortunately the classical covariance and correlation matrices...
James Chilson, Raymond T. Ng, Alan Wagner, Ruben H...
ARC
2008
Springer
115views Hardware» more  ARC 2008»
13 years 8 months ago
A High Throughput FPGA-based Floating Point Conjugate Gradient Implementation
As Field Programmable Gate Arrays (FPGAs) have reached capacities beyond millions of equivalent gates, it becomes possible to accelerate floating-point scientific computing applica...
Antonio Roldao Lopes, George A. Constantinides
ICDM
2010
IEEE
230views Data Mining» more  ICDM 2010»
13 years 3 months ago
Clustering Large Attributed Graphs: An Efficient Incremental Approach
In recent years, many networks have become available for analysis, including social networks, sensor networks, biological networks, etc. Graph clustering has shown its effectivenes...
Yang Zhou, Hong Cheng, Jeffrey Xu Yu
SIGIR
2004
ACM
13 years 11 months ago
On scaling latent semantic indexing for large peer-to-peer systems
The exponential growth of data demands scalable infrastructures capable of indexing and searching rich content such as text, music, and images. A promising direction is to combine...
Chunqiang Tang, Sandhya Dwarkadas, Zhichen Xu
KDD
2012
ACM
207views Data Mining» more  KDD 2012»
11 years 8 months ago
Robust multi-task feature learning
Multi-task learning (MTL) aims to improve the performance of multiple related tasks by exploiting the intrinsic relationships among them. Recently, multi-task feature learning alg...
Pinghua Gong, Jieping Ye, Changshui Zhang