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» Detecting Change in Data Streams
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CVPR
2009
IEEE
15 years 4 months ago
Observe Locally, Infer Globally: a Space-Time MRF for Detecting Abnormal Activities with Incremental Updates
We propose a space-time Markov Random Field (MRF) model to detect abnormal activities in video. The nodes in the MRF graph correspond to a grid of local regions in the video fra...
Jaechul Kim (University of Texas at Austin), Krist...
DASFAA
2006
IEEE
153views Database» more  DASFAA 2006»
14 years 27 days ago
Dissemination of Dynamic Data: Semantics, Algorithms, and Performance
Abstract The Internet and the Web are increasingly used to disseminate fast changing data such as sensor data, traffic and weather information, stock prices, sports scores, and eve...
Krithi Ramamritham
DKE
2008
109views more  DKE 2008»
13 years 9 months ago
Deterministic algorithms for sampling count data
Processing and extracting meaningful knowledge from count data is an important problem in data mining. The volume of data is increasing dramatically as the data is generated by da...
Hüseyin Akcan, Alex Astashyn, Hervé Br...
ICNP
2007
IEEE
14 years 3 months ago
PSM-throttling: Minimizing Energy Consumption for Bulk Data Communications in WLANs
— While the 802.11 power saving mode (PSM) and its enhancements can reduce power consumption by putting the wireless network interface (WNI) into sleep as much as possible, they ...
Enhua Tan, Lei Guo, Songqing Chen, Xiaodong Zhang
DCC
2004
IEEE
14 years 8 months ago
Fast Near-Lossless or Lossless Compression of Large 3D Neuro-Anatomical Images
3D neuro-anatomical images and other volumetric data sets are important in many scientific and biomedical fields. Since such sets may be extremely large, a scalable compression me...
Rongkai Zhao, Michael Gabriel, Geneva G. Belford