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TKDE
2008
125views more  TKDE 2008»
13 years 8 months ago
Discovering and Explaining Abnormal Nodes in Semantic Graphs
An important problem in the area of homeland security is to identify abnormal or suspicious entities in large datasets. Although there are methods from data mining and social netwo...
Shou-de Lin, Hans Chalupsky
IMC
2009
ACM
14 years 3 months ago
ANTIDOTE: understanding and defending against poisoning of anomaly detectors
Statistical machine learning techniques have recently garnered increased popularity as a means to improve network design and security. For intrusion detection, such methods build ...
Benjamin I. P. Rubinstein, Blaine Nelson, Ling Hua...
CN
2010
130views more  CN 2010»
13 years 6 months ago
CoreCast: How core/edge separation can help improving inter-domain live streaming
The rapid growth of broadband access has popularized multimedia services, which nowadays contribute to a large part of Internet traffic. Among this content, the broadcasting of li...
Loránd Jakab, Albert Cabellos-Aparicio, Tho...
JAIR
2010
142views more  JAIR 2010»
13 years 7 months ago
Context-based Word Acquisition for Situated Dialogue in a Virtual World
To tackle the vocabulary problem in conversational systems, previous work has applied unsupervised learning approaches on co-occurring speech and eye gaze during interaction to au...
Shaolin Qu, Joyce Yue Chai
MOBIWAC
2009
ACM
14 years 3 months ago
Protocol design and analysis of a HIP-based per-application mobility management platform
Rapid evolution of wireless networking has provided wide-scale of different wireless access technologies like Bluetooth, ZigBee, 802.11a/b/g, DSRC, 3G UMTS, LTE, WiMAX, etc. The c...
László Bokor, László T...