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ESANN
2007
15 years 2 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
108
Voted
ICIP
2008
IEEE
16 years 2 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...
212
Voted
SIGMOD
2008
ACM
162views Database» more  SIGMOD 2008»
16 years 23 days 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»
16 years 25 days 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...
125
Voted
TRIDENTCOM
2010
IEEE
14 years 10 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