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INFOCOM
2011
IEEE
14 years 9 months ago
Multiple task scheduling for low-duty-cycled wireless sensor networks
—For energy conservation, a wireless sensor network is usually designed to work in a low-duty-cycle mode, in which a sensor node keeps active for a small percentage of time durin...
Shuguang Xiong, Jianzhong Li, Mo Li, Jiliang Wang,...
ICCV
2009
IEEE
16 years 10 months ago
Semi-Supervised Random Forests
Random Forests (RFs) have become commonplace in many computer vision applications. Their popularity is mainly driven by their high computational efficiency during both training ...
Christian Leistner, Amir Saffari, Jakob Santner, H...
KDD
2006
ACM
163views Data Mining» more  KDD 2006»
16 years 6 months ago
New EM derived from Kullback-Leibler divergence
We introduce a new EM framework in which it is possible not only to optimize the model parameters but also the number of model components. A key feature of our approach is that we...
Longin Jan Latecki, Marc Sobel, Rolf Lakämper
KDD
2004
ACM
157views Data Mining» more  KDD 2004»
15 years 11 months ago
Fast mining of spatial collocations
Spatial collocation patterns associate the co-existence of nonspatial features in a spatial neighborhood. An example of such a pattern can associate contaminated water reservoirs ...
Xin Zhang, Nikos Mamoulis, David W. Cheung, Yutao ...
ICDM
2006
IEEE
147views Data Mining» more  ICDM 2006»
15 years 12 months ago
Adaptive Parallel Graph Mining for CMP Architectures
Mining graph data is an increasingly popular challenge, which has practical applications in many areas, including molecular substructure discovery, web link analysis, fraud detect...
Gregory Buehrer, Srinivasan Parthasarathy, Yen-Kua...