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» Maximizing data locality in distributed systems
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KDD
2004
ACM
158views Data Mining» more  KDD 2004»
14 years 9 months ago
A generalized maximum entropy approach to bregman co-clustering and matrix approximation
Co-clustering is a powerful data mining technique with varied applications such as text clustering, microarray analysis and recommender systems. Recently, an informationtheoretic ...
Arindam Banerjee, Inderjit S. Dhillon, Joydeep Gho...
INFOCOM
1997
IEEE
14 years 21 days ago
Investigation of the IEEE 802.11 Medium Access Control (MAC)
Analysis of the drafi IEEE 802.11 wireless local area network (WLAN) standard is needed to characterize the expected performance of the standard’s ad hoc and infrastructure netw...
Brian P. Crow, Indra Widjaja, Jeong Geun Kim, Pres...
AINA
2010
IEEE
13 years 12 months ago
Detecting Suspicious Motion with Nonimaging Sensors
—Automated distributed sentry systems need only detect suspicious behavior. Microphones and infrared detectors may suffice, as well as being simpler and cheaper than cameras whil...
Neil C. Rowe, Ahren A. Reed, Jose J. Flores
ICDM
2009
IEEE
259views Data Mining» more  ICDM 2009»
13 years 6 months ago
Topic Modeling for Sequences of Temporal Activities
: Topic Modeling for Sequences of Temporal Activities Zhi-Yong Shen, Ping Luo, Yuhong Xiong, Jun Sun, Yi-Dong Shen HP Laboratories HPL-2010-160 topic modeling, LDA, sequence, temp...
Zhiyong Shen, Ping Luo, Yuhong Xiong, Jun Sun, Yi-...
HICSS
2002
IEEE
98views Biometrics» more  HICSS 2002»
14 years 1 months ago
Growth and Propagation of Disturbances in a Communication Network Model
In a society in which information is one of the highest-valued commodities, information networks are the economic backbone. Therefore, network vulnerability is a major hazard. Ana...
David E. Newman, Nathaniel D. Sizemore, Vickie E. ...