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WSC
2008
14 years 14 days ago
Introducing age-based parameters into simulations of crowd dymanics
Very few crowds consist of individuals who are exactly the same. Defining variables, such as age, and how they affect an individual's movement, could increase realism in simu...
D. J. Kaup, Thomas L. Clarke, Rex Oleson, Linda C....
KDD
2012
ACM
207views Data Mining» more  KDD 2012»
12 years 17 days ago
Robust multi-task feature learning
Multi-task learning (MTL) aims to improve the performance of multiple related tasks by exploiting the intrinsic relationships among them. Recently, multi-task feature learning alg...
Pinghua Gong, Jieping Ye, Changshui Zhang
KDD
2009
ACM
156views Data Mining» more  KDD 2009»
14 years 10 months ago
Multi-focal learning and its application to customer service support
In this study, we formalize a multi-focal learning problem, where training data are partitioned into several different focal groups and the prediction model will be learned within...
Yong Ge, Hui Xiong, Wenjun Zhou, Ramendra K. Sahoo...
FC
2007
Springer
158views Cryptology» more  FC 2007»
14 years 4 months ago
Hidden Identity-Based Signatures
This paper introduces Hidden Identity-based Signatures (Hidden-IBS), a type of digital signatures that provide mediated signer-anonymity on top of Shamir’s Identity-based signat...
Aggelos Kiayias, Hong-Sheng Zhou
ASIACRYPT
2004
Springer
14 years 3 months ago
Secret Handshakes from CA-Oblivious Encryption
Secret handshakes were recently introduced [BDS+ 03] to allow members of the same group to authenticate each other secretly, in the sense that someone who is not a group member ca...
Claude Castelluccia, Stanislaw Jarecki, Gene Tsudi...