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» Streaming Algorithms for Data in Motion
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ICMCS
2005
IEEE
172views Multimedia» more  ICMCS 2005»
15 years 5 months ago
A Study of Synthesizing New Human Motions from Sampled Motions Using Tensor Decomposition
This paper applies an algorithm, based on Tensor Decomposition, to a new synthesis application: by using sampled motions of people of different ages under different emotional stat...
Rovshan Kalanov, Jieun Cho, Jun Ohya
ICDM
2006
IEEE
161views Data Mining» more  ICDM 2006»
15 years 5 months ago
STAGGER: Periodicity Mining of Data Streams Using Expanding Sliding Windows
Sensor devices are becoming ubiquitous, especially in measurement and monitoring applications. Because of the real-time, append-only and semi-infinite natures of the generated se...
Mohamed G. Elfeky, Walid G. Aref, Ahmed K. Elmagar...
HPDC
2005
IEEE
15 years 5 months ago
Adaptive data block scheduling for parallel TCP streams
Applications that use parallel TCP streams to increase throughput must multiplex and demultiplex data blocks over a set of TCP streams transmitting on one or more network paths. W...
Thomas J. Hacker, Brian D. Noble, Brian D. Athey
DMS
2008
106views Multimedia» more  DMS 2008»
15 years 1 months ago
A Multimedia Data Streams Model for Content-based Information Retrieval
: Multimedia applications nowadays are becoming the standard, for they utilize the enormous human brain computational power. In the past, the Relational Database Model was generali...
Shenoda Guirguis, Rohit Kulkarni, Shi-Kuo Chang
CIKM
2009
Springer
15 years 3 months ago
Mining data streams with periodically changing distributions
Dynamic data streams are those whose underlying distribution changes over time. They occur in a number of application domains, and mining them is important for these applications....
Yingying Tao, M. Tamer Özsu