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» Using Gaussian Processes to Optimize Expensive Functions
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ICDE
2011
IEEE
207views Database» more  ICDE 2011»
12 years 11 months ago
Monte Carlo query processing of uncertain multidimensional array data
— Array database systems are architected for scientific and engineering applications. In these applications, the value of a cell is often imprecise and uncertain. There are at le...
Tingjian Ge, David Grabiner, Stanley B. Zdonik
KDD
2007
ACM
132views Data Mining» more  KDD 2007»
14 years 8 months ago
A scalable modular convex solver for regularized risk minimization
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and different r...
Choon Hui Teo, Alex J. Smola, S. V. N. Vishwanatha...
DCC
2010
IEEE
13 years 7 months ago
The cost of false alarms in Hellman and rainbow tradeoffs
Abstract Cryptanalytic time memory tradeoff algorithms are generic one-way function inversion techniques that utilize pre-computation. Even though the online time complexity is kno...
Jin Hong
ICIP
2006
IEEE
14 years 9 months ago
Denoising Archival Films using a Learned Bayesian Model
We develop a Bayesian model of digitized archival films and use this for denoising, or more specifically de-graining, individual frames. In contrast to previous approaches our mod...
Teodor Mihai Moldovan, Stefan Roth, Michael J. Bla...
ICCAD
2010
IEEE
140views Hardware» more  ICCAD 2010»
13 years 5 months ago
Polynomial datapath optimization using constraint solving and formal modelling
For a variety of signal processing applications polynomials are implemented in circuits. Recent work on polynomial datapath optimization achieved significant reductions of hardware...
Finn Haedicke, Bijan Alizadeh, Görschwin Fey,...