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» Estimating Dominance Norms of Multiple Data Streams
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FOCS
2009
IEEE
14 years 2 months ago
The Data Stream Space Complexity of Cascaded Norms
Abstract— We consider the problem of estimating cascaded aggregates over a matrix presented as a sequence of updates in a data stream. A cascaded aggregate P ◦Q is defined by ...
T. S. Jayram, David P. Woodruff
SAC
2010
ACM
14 years 6 days ago
Data stream anomaly detection through principal subspace tracking
We consider the problem of anomaly detection in multiple co-evolving data streams. In this paper, we introduce FRAHST (Fast Rank-Adaptive row-Householder Subspace Tracking). It au...
Pedro Henriques dos Santos Teixeira, Ruy Luiz Mili...
ICDE
2005
IEEE
108views Database» more  ICDE 2005»
14 years 8 months ago
Range Efficient Computation of F0 over Massive Data Streams
Efficient one-pass computation of F0, the number of distinct elements in a data stream, is a fundamental problem arising in various contexts in databases and networking. We consid...
Pavan Aduri, Srikanta Tirthapura
ICASSP
2011
IEEE
12 years 11 months ago
Joint data detection and dominant singular mode estimation in time varying reciprocal MIMO systems
This paper proposes an algorithm for joint data detection and tracking of the dominant singular mode of a time varying channel at the transmitter and receiver of a time division d...
Ranjitha Prasad, Bettagere Nagaraja Bharath, Chand...
PAMI
2010
132views more  PAMI 2010»
13 years 5 months ago
Maximum Likelihood Model Selection for 1-Norm Soft Margin SVMs with Multiple Parameters
—Adapting the hyperparameters of support vector machines (SVMs) is a challenging model selection problem, especially when flexible kernels are to be adapted and data are scarce....
Tobias Glasmachers, Christian Igel