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» A Kernel Approach to Comparing Distributions
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KDD
2007
ACM
152views Data Mining» more  KDD 2007»
15 years 10 months ago
Privacy-Preserving Sharing of Horizontally-Distributed Private Data for Constructing Accurate Classifiers
Data mining tasks such as supervised classification can often benefit from a large training dataset. However, in many application domains, privacy concerns can hinder the construc...
Vincent Yan Fu Tan, See-Kiong Ng
ICSE
2008
IEEE-ACM
15 years 10 months ago
Scalable detection of semantic clones
Several techniques have been developed for identifying similar code fragments in programs. These similar fragments, referred to as code clones, can be used to identify redundant c...
Mark Gabel, Lingxiao Jiang, Zhendong Su
IMC
2010
ACM
14 years 7 months ago
Eyeball ASes: from geography to connectivity
This paper presents a new approach to determine the geographical footprint of individual Autonomous Systems that directly provide service to end-users, i.e.,eyeball ASes. The key ...
Amir H. Rasti, Nazanin Magharei, Reza Rejaie, Walt...
WCNC
2010
IEEE
15 years 1 months ago
DCP-EW: Distributed Congestion-Control Protocol for Encrypted Wireless Networks
Abstract— VCP suffers from a relatively low speed of convergence and exhibits biased fairness in moderate bandwidth high delay networks due to utilizing an insufficient amount o...
Xiaolong Li, Homayoun Yousefi'zadeh
CVPR
2003
IEEE
15 years 12 months ago
An Efficient Approach to Learning Inhomogeneous Gibbs Model
Inhomogeneous Gibbs model (IGM) [4] is an effective maximum entropy model in characterizing complex highdimensional distributions. However, its training process is so slow that th...
Ziqiang Liu, Hong Chen, Heung-Yeung Shum