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» Evaluating algorithms that learn from data streams
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ICML
2006
IEEE
16 years 7 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 4 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 4 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 12 days 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, ...