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» Scalable Learning of Collective Behavior
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129
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NDSS
2009
IEEE
15 years 9 months ago
Scalable, Behavior-Based Malware Clustering
Anti-malware companies receive thousands of malware samples every day. To process this large quantity, a number of automated analysis tools were developed. These tools execute a m...
Ulrich Bayer, Paolo Milani Comparetti, Clemens Hla...
129
Voted
ICML
2010
IEEE
15 years 18 days ago
Learning optimally diverse rankings over large document collections
Most learning to rank research has assumed that the utility of different documents is independent, which results in learned ranking functions that return redundant results. The fe...
Aleksandrs Slivkins, Filip Radlinski, Sreenivas Go...
115
Voted
MM
2009
ACM
131views Multimedia» more  MM 2009»
15 years 9 months ago
Towards characterizing user interaction with progressively transmitted 3D meshes
We collected traces of how 37 users interacted with 9 progressively streamed and rendered 3D meshes. We analyze the traces and discuss the insights that we learned in relation to ...
Ransi Nilaksha De Silva, Wei Cheng, Dan Liu, Wei T...
85
Voted
CCGRID
2007
IEEE
15 years 9 months ago
Collective Interfaces for Distributed Components
We propose to address collective communications in distributed components through collective interfaces. Collective interfaces handle data distribution, parallelism and synchroniz...
Françoise Baude, Denis Caromel, Ludovic Hen...
154
Voted
AAAI
2012
13 years 5 months ago
Learning Behavior Models for Hybrid Timed Systems
A tailored model of a system is the prerequisite for various analysis tasks, such as anomaly detection, fault identification, or quality assurance. This paper deals with the algo...
Oliver Niggemann, Benno Stein, Asmir Vodencarevic,...