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» A Computational Approach to Binding Theory
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ICCV
2003
IEEE
16 years 3 months ago
Controlling Model Complexity in Flow Estimation
This paper describes a novel application of Statistical Learning Theory (SLT) to control model complexity in flow estimation. SLT provides analytical generalization bounds suitabl...
Zoran Duric, Fayin Li, Harry Wechsler, Vladimir Ch...
DAC
2006
ACM
16 years 2 months ago
Exploring trade-offs in buffer requirements and throughput constraints for synchronous dataflow graphs
Multimedia applications usually have throughput constraints. An implementation must meet these constraints, while it minimizes resource usage and energy consumption. The compute i...
Sander Stuijk, Marc Geilen, Twan Basten
CHI
2010
ACM
15 years 8 months ago
Graphemes: self-organizing shape-based clustered structures for network visualisations
Network visualisations use clustering approaches to simplify the presentation of complex graph structures. We present a novel application of clustering algorithms, which controls ...
Ross Shannon, Aaron J. Quigley, Paddy Nixon
94
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IPPS
2008
IEEE
15 years 8 months ago
Assuring information quality in e-Science
In this paper we outline a framework for assuring information quality (IQ) in an e-Science context, using semiotics theory, semantic explanation of resources, and data couplings. ...
Ying Su, Zhanming Jin, Jie Peng
ICNS
2007
IEEE
15 years 8 months ago
Data fusion algorithms for network anomaly detection: classification and evaluation
In this paper, the problem of discovering anomalies in a large-scale network based on the data fusion of heterogeneous monitors is considered. We present a classification of anoma...
Vasilis Chatzigiannakis, Georgios Androulidakis, K...