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» Tight results for clustering and summarizing data streams
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MM
2005
ACM
146views Multimedia» more  MM 2005»
14 years 1 months ago
Unsupervised content discovery in composite audio
Automatically extracting semantic content from audio streams can be helpful in many multimedia applications. Motivated by the known limitations of traditional supervised approache...
Rui Cai, Lie Lu, Alan Hanjalic
FGR
2008
IEEE
255views Biometrics» more  FGR 2008»
14 years 2 months ago
Aligned Cluster Analysis for temporal segmentation of human motion
Temporal segmentation of human motion into actions is a crucial step for understanding and building computational models of human motion. Several issues contribute to the challeng...
Feng Zhou, Fernando De la Torre, Jessica K. Hodgin...
AI
2005
Springer
13 years 9 months ago
Integrating Web Content Clustering into Web Log Association Rule Mining
Abstract. One of the effects of the general Internet growth is an immense number of user accesses to WWW resources. These accesses are recorded in the web server log files, which...
Jiayun Guo, Vlado Keselj, Qigang Gao
PODS
2009
ACM
100views Database» more  PODS 2009»
14 years 8 months ago
Space-optimal heavy hitters with strong error bounds
The problem of finding heavy hitters and approximating the frequencies of items is at the heart of many problems in data stream analysis. It has been observed that several propose...
Radu Berinde, Graham Cormode, Piotr Indyk, Martin ...
IPPS
2003
IEEE
14 years 29 days ago
Distributed Process Networks in Java
Kahn defined a formal model for networks of processes that communicate through channels carrying streams of data tokens. His mathematical results show the necessary conditions fo...
Thomas M. Parks, David Roberts