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NIPS
2004
13 years 8 months ago
Learning Gaussian Process Kernels via Hierarchical Bayes
We present a novel method for learning with Gaussian process regression in a hierarchical Bayesian framework. In a first step, kernel matrices on a fixed set of input points are l...
Anton Schwaighofer, Volker Tresp, Kai Yu
ACSAC
2006
IEEE
14 years 1 months ago
A General Dynamic Information Flow Tracking Framework for Security Applications
Many software security solutions require accurate tracking of control/data dependencies among information objects in network applications. This paper presents a general dynamic in...
Lap-Chung Lam, Tzi-cker Chiueh
DEBS
2008
ACM
13 years 9 months ago
A framework for performance evaluation of complex event processing systems
Several new Complex Event Processing (CEP) engines have been recently released, many of which are intended to be used in performance sensitive scenarios - like fraud detection, tr...
Marcelo R. N. Mendes, Pedro Bizarro, Paulo Marques
CLEIEJ
2008
97views more  CLEIEJ 2008»
13 years 7 months ago
A finite bidimensional wavelet framework for computer graphics: Image equalization
A lot of material has been written about wavelet theory. Most of these texts provide an elegant framework from the functional and real analysis point of view. The complete infinit...
Francisco Jose Benavides Murillo, Edgar Benavides ...
CIKM
2006
Springer
13 years 11 months ago
A data stream language and system designed for power and extensibility
By providing an integrated and optimized support for user-defined aggregates (UDAs), data stream management systems (DSMS) can achieve superior power and generality while preservi...
Yijian Bai, Hetal Thakkar, Haixun Wang, Chang Luo,...