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» Evaluating algorithms that learn from data streams
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ICML
2006
IEEE
16 years 8 months ago
A DC-programming algorithm for kernel selection
We address the problem of learning a kernel for a given supervised learning task. Our approach consists in searching within the convex hull of a prescribed set of basic kernels fo...
Andreas Argyriou, Raphael Hauser, Charles A. Micch...
IPPS
2010
IEEE
15 years 5 months ago
Distributed monitoring of conditional entropy for anomaly detection in streams
In this work we consider the problem of monitoring information streams for anomalies in a scalable and efficient manner. We study the problem in the context of network streams wher...
Chrisil Arackaparambil, Sergey Bratus, Joshua Brod...
COLT
2010
Springer
15 years 5 months ago
Principal Component Analysis with Contaminated Data: The High Dimensional Case
We consider the dimensionality-reduction problem (finding a subspace approximation of observed data) for contaminated data in the high dimensional regime, where the number of obse...
Huan Xu, Constantine Caramanis, Shie Mannor
ICIP
2006
IEEE
16 years 8 months ago
Lossy-To-Lossless Block-Based Compression of Hyperspectral Volumetric Data
An embedded, block-based, wavelet transform coding algorithm of low complexity is proposed. Three-Dimensional Set Partitioned Embedded bloCK(3D-SPECK) efficiently encodes hyperspe...
Xiaoli Tang, William A. Pearlman
SENSYS
2006
ACM
16 years 1 months ago
Datalink streaming in wireless sensor networks
Datalink layer framing in wireless sensor networks usually faces a trade-off between large frame sizes for high channel bandwidth utilization and small frame sizes for effective e...
Raghu K. Ganti, Praveen Jayachandran, Haiyun Luo, ...