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WSDM
2010
ACM
172views Data Mining» more  WSDM 2010»
14 years 5 months ago
Early Online Identification of Attention Gathering Items In Social Media
Activity in social media such as blogs, micro-blogs, social networks, etc is manifested via interaction that involves text, images, links and other information items. Naturally, s...
Michael Mathioudakis, Nick Koudas, Peter Marbach
SC
2005
ACM
14 years 1 months ago
Bridging the Macro and Micro: A Computing Intensive Earthquake Study Using Discovery Net
We present the development and use of a novel distributed geohazard modeling environment for the analysis and interpretation of large scale earthquake data sets. Our work demonstr...
Yike Guo, Jian Guo Liu, Moustafa Ghanem, Kyran Mis...
VLDB
2007
ACM
164views Database» more  VLDB 2007»
14 years 8 months ago
A new intrusion detection system using support vector machines and hierarchical clustering
Whenever an intrusion occurs, the security and value of a computer system is compromised. Network-based attacks make it difficult for legitimate users to access various network ser...
Latifur Khan, Mamoun Awad, Bhavani M. Thuraisingha...
ICCV
2011
IEEE
12 years 7 months ago
iGroup : Weakly supervised image and video grouping
We present a generic, efficient and iterative algorithm for interactively clustering classes of images and videos. The approach moves away from the use of large hand labelled tra...
Andrew Gilbert, Richard Bowden
ICMLA
2010
13 years 5 months ago
Semi-Supervised Anomaly Detection for EEG Waveforms Using Deep Belief Nets
Abstract--Clinical electroencephalography (EEG) is routinely used to monitor brain function in critically ill patients, and specific EEG waveforms are recognized by clinicians as s...
Drausin Wulsin, Justin Blanco, Ram Mani, Brian Lit...