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» Adaptively Detecting Aggregation Bursts in Data Streams
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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
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), ...
ICDE
2009
IEEE
143views Database» more  ICDE 2009»
14 years 2 months ago
Supporting Generic Cost Models for Wide-Area Stream Processing
— Existing stream processing systems are optimized for a specific metric, which may limit their applicability to diverse applications and environments. This paper presents XFlow...
Olga Papaemmanouil, Ugur Çetintemel, John J...
ADBIS
2009
Springer
127views Database» more  ADBIS 2009»
14 years 2 months ago
Window Update Patterns in Stream Operators
Continuous queries applied over nonterminating data streams usually specify windows in order to obtain an evolving –yet restricted– set of tuples and thus provide timely result...
Kostas Patroumpas, Timos K. Sellis
ICNP
2007
IEEE
14 years 1 months ago
PSM-throttling: Minimizing Energy Consumption for Bulk Data Communications in WLANs
— While the 802.11 power saving mode (PSM) and its enhancements can reduce power consumption by putting the wireless network interface (WNI) into sleep as much as possible, they ...
Enhua Tan, Lei Guo, Songqing Chen, Xiaodong Zhang