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FIMI
2003
88views Data Mining» more  FIMI 2003»
15 years 3 months ago
A fast APRIORI implementation
The efficiency of frequent itemset mining algorithms is determined mainly by three factors: the way candidates are generated, the data structure that is used and the implementati...
Ferenc Bodon
SIGECOM
2003
ACM
110views ECommerce» more  SIGECOM 2003»
15 years 7 months ago
Virtual worlds: fast and strategyproof auctions for dynamic resource allocation
We consider the problem of designing fast and strategyproof exchanges for dynamic resource allocation problems in distributed systems. The exchange is implemented as a sequence of...
Chaki Ng, David C. Parkes, Margo I. Seltzer
NIPS
2001
15 years 3 months ago
Fast and Robust Classification using Asymmetric AdaBoost and a Detector Cascade
This paper develops a new approach for extremely fast detection in domains where the distribution of positive and negative examples is highly skewed (e.g. face detection or databa...
Paul A. Viola, Michael J. Jones
ICASSP
2011
IEEE
14 years 5 months ago
Fast adaptive variational sparse Bayesian learning with automatic relevance determination
In this work a new adaptive fast variational sparse Bayesian learning (V-SBL) algorithm is proposed that is a variational counterpart of the fast marginal likelihood maximization ...
Dmitriy Shutin, Thomas Buchgraber, Sanjeev R. Kulk...
GLVLSI
2006
IEEE
98views VLSI» more  GLVLSI 2006»
15 years 8 months ago
Rapid intermodulation distortion estimation in fully balanced weakly nonlinear Gm-C filters using state-space modeling
State-space modeling of fully differential Gm-C filters with weak nonlinearities is used to develop a fast algorithm for intermodulation distortion estimation. It results in sim...
Paul Sotiriadis, Abdullah Celik, Zhaonian Zhang