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» Experiments with a New Boosting Algorithm
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114
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DKE
2008
106views more  DKE 2008»
15 years 3 months ago
Towards optimal k-anonymization
When releasing microdata for research purposes, one needs to preserve the privacy of respondents while maximizing data utility. An approach that has been studied extensively in re...
Tiancheng Li, Ninghui Li
147
Voted
JIIS
2006
103views more  JIIS 2006»
15 years 3 months ago
Time-focused clustering of trajectories of moving objects
Spatio-temporal, geo-referenced datasets are growing rapidly, and will be more in the near future, due to both technological and social/commercial reasons. From the data mining vie...
Mirco Nanni, Dino Pedreschi
132
Voted
PR
2008
87views more  PR 2008»
15 years 3 months ago
Two-dimensional Laplacianfaces method for face recognition
In this paper we propose a two-dimensional (2D) Laplacianfaces method for face recognition. The new algorithm is developed based on two techniques, i.e., locality preserved embedd...
Ben Niu, Qiang Yang, Simon Chi-Keung Shiu, Sankar ...
JMM2
2007
120views more  JMM2 2007»
15 years 3 months ago
A Rate Estimation Framework for Matching Pursuits Video Coding
— The Bath University Matching Pursuit (BUMP) project aims at developing new matching pursuit (MP) algorithms for still image and video compression. Compared to traditional MP co...
Haoxiang Zhang, Adrian N. Evans, Donald M. Monro
144
Voted
MTA
2007
110views more  MTA 2007»
15 years 3 months ago
On aggregate available bandwidth in many-to-one data transfer - modeling and applications
Abstract This work investigates the modeling of aggregate available bandwidth in multisender network applications. Unlike the well-established client–server model, where there is...
S. C. Hui, Jack Y. B. Lee