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» Detecting Change in Data Streams
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TIP
2008
169views more  TIP 2008»
15 years 3 months ago
Weakly Supervised Learning of a Classifier for Unusual Event Detection
In this paper, we present an automatic classification framework combining appearance based features and Hidden Markov Models (HMM) to detect unusual events in image sequences. One...
Mark Jager, Christian Knoll, Fred A. Hamprecht
145
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TMC
2010
130views more  TMC 2010»
15 years 1 months ago
Efficient Coverage Maintenance Based on Probabilistic Distributed Detection
—Many wireless sensor networks require sufficient sensing coverage over long periods of time. To conserve energy, a coverage maintenance protocol achieves desired coverage by act...
Guoliang Xing, Xiangmao Chang, Chenyang Lu, Jianpi...
126
Voted
IUI
2006
ACM
15 years 9 months ago
SWISH: semantic analysis of window titles and switching history
Information workers are often involved in multiple tasks and activities that they must perform in parallel or in rapid succession. In consequence, task management itself becomes y...
Nuria Oliver, Greg Smith, Chintan Thakkar, Arun C....
114
Voted
HICSS
2007
IEEE
111views Biometrics» more  HICSS 2007»
15 years 9 months ago
An Empirical Analysis of Fraud Detection in Online Auctions: Credit Card Phantom Transaction
The online auction is a well-known business model that shows how business can be changed with the aid of new technologies. On the other hand, although the online auction allows bu...
Myungsin Chae, Seonyoung Shim, Hyungjun Cho, Byung...
126
Voted
NSDI
2010
15 years 4 months ago
Glasnost: Enabling End Users to Detect Traffic Differentiation
Holding residential ISPs to their contractual or legal obligations of "unlimited service" or "network neutrality" is hard because their traffic management poli...
Marcel Dischinger, Massimiliano Marcon, Saikat Guh...