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ESANN
2007
13 years 9 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann
ICIP
2008
IEEE
14 years 9 months ago
Peer-to-peer multicast live video streaming with interactive virtual pan/tilt/zoom functionality
Video streaming with virtual pan/tilt/zoom functionality allows the viewer to watch arbitrary regions of a high-spatial-resolution scene. In our proposed system, the user controls...
Aditya Mavlankar, Jeonghun Noh, Pierpaolo Bacciche...
SIGMOD
2008
ACM
162views Database» more  SIGMOD 2008»
14 years 8 months ago
Event queries on correlated probabilistic streams
A major problem in detecting events in streams of data is that the data can be imprecise (e.g. RFID data). However, current state-ofthe-art event detection systems such as Cayuga ...
Christopher Ré, Dan Suciu, Julie Letchner, ...
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...
TRIDENTCOM
2010
IEEE
13 years 5 months ago
Managing Distributed Applications Using Gush
Deploying and controlling experiments running on a distributed set of resources is a challenging task. Software developers often spend a significant amount of time dealing with the...
Jeannie Albrecht, Danny Yuxing Huang