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» Local Probabilistic Models for Link Prediction
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PAKDD
2007
ACM
184views Data Mining» more  PAKDD 2007»
14 years 1 months ago
Exploring Group Moving Pattern for an Energy-Constrained Object Tracking Sensor Network
In this paper, we investigate and utilize the characteristic of the group movement of objects to achieve energy conservation in the inherently resource-constrained wireless object ...
Hsiao-Ping Tsai, De-Nian Yang, Wen-Chih Peng, Ming...
RECOMB
2002
Springer
14 years 8 months ago
Monotony of surprise and large-scale quest for unusual words
The problem of characterizing and detecting recurrent sequence patterns such as substrings or motifs and related associations or rules is variously pursued in order to compress da...
Alberto Apostolico, Mary Ellen Bock, Stefano Lonar...
SECON
2010
IEEE
13 years 5 months ago
Adaptive Instantiation of the Protocol Interference Model in Mission-Critical Wireless Networks
Interference model is the basis of MAC protocol design in wireless networks, and it directly affects the efficiency and predictability of wireless messaging. To exploit the strengt...
Xin Che, Xiaohui Liu, Xi Ju, Hongwei Zhang
EMMCVPR
2007
Springer
14 years 1 months ago
Compositional Object Recognition, Segmentation, and Tracking in Video
Abstract. The complexity of visual representations is substantially limited by the compositional nature of our visual world which, therefore, renders learning structured object mod...
Björn Ommer, Joachim M. Buhmann
SAC
2009
ACM
14 years 2 months ago
Applying latent dirichlet allocation to group discovery in large graphs
This paper introduces LDA-G, a scalable Bayesian approach to finding latent group structures in large real-world graph data. Existing Bayesian approaches for group discovery (suc...
Keith Henderson, Tina Eliassi-Rad