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» Memory Prefetching Using Adaptive Stream Detection
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HPCC
2007
Springer
14 years 1 months ago
Continuous Adaptive Outlier Detection on Distributed Data Streams
In many applications, stream data are too voluminous to be collected in a central fashion and often transmitted on a distributed network. In this paper, we focus on the outlier det...
Liang Su, Weihong Han, Shuqiang Yang, Peng Zou, Ya...
ML
2010
ACM
142views Machine Learning» more  ML 2010»
13 years 6 months ago
Fast adaptive algorithms for abrupt change detection
We propose two fast algorithms for abrupt change detection in streaming data that can operate on arbitrary unknown data distributions before and after the change. The first algor...
Daniel Nikovski, Ankur Jain
ACMMSP
2005
ACM
106views Hardware» more  ACMMSP 2005»
14 years 1 months ago
Impact of modern memory subsystems on cache optimizations for stencil computations
In this work we investigate the impact of evolving memory system features, such as large on-chip caches, automatic prefetch, and the growing distance to main memory on 3D stencil ...
Shoaib Kamil, Parry Husbands, Leonid Oliker, John ...
CVPR
2009
IEEE
15 years 3 months ago
A Streaming Framework for Seamless Building Reconstruction from Large-Scale Aerial LiDAR Data
We present a streaming framework for seamless building reconstruction from huge aerial LiDAR point sets. By storing data as stream files on hard disk and using main memory as only ...
Qian-Yi Zhou (University of Southern California), ...
SIGMOD
2007
ACM
164views Database» more  SIGMOD 2007»
14 years 7 months ago
Fast data stream algorithms using associative memories
The primary goal of data stream research is to develop space and time efficient solutions for answering continuous online summarization queries. Research efforts over the last dec...
Nagender Bandi, Ahmed Metwally, Divyakant Agrawal,...