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» Mobile learning: A framework and evaluation
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MOBICOM
2010
ACM
13 years 9 months ago
Privacy vulnerability of published anonymous mobility traces
Mobility traces of people and vehicles have been collected and published to assist the design and evaluation of mobile networks, such as large-scale urban sensing networks. Althou...
Chris Y. T. Ma, David K. Y. Yau, Nung Kwan Yip, Na...
HICSS
2003
IEEE
145views Biometrics» more  HICSS 2003»
14 years 2 months ago
The DISCIPLE System for Collaboration over the Heterogeneous Web
With the proliferation of mobile devices we witness an increasing demand for supporting collaboration among users working in the field and in the office. A key component for colla...
Allan Meng Krebs, Mihail F. Ionescu, Bogdan Doroho...
VLDB
2007
ACM
295views Database» more  VLDB 2007»
14 years 3 months ago
From Data Privacy to Location Privacy: Models and Algorithms
This tutorial presents the definition, the models and the techniques of location privacy from the data privacy perspective. By reviewing and revising the state of art research in ...
Ling Liu
KDD
2008
ACM
172views Data Mining» more  KDD 2008»
14 years 9 months ago
Structured metric learning for high dimensional problems
The success of popular algorithms such as k-means clustering or nearest neighbor searches depend on the assumption that the underlying distance functions reflect domain-specific n...
Jason V. Davis, Inderjit S. Dhillon
AI
2002
Springer
13 years 9 months ago
Improving heuristic mini-max search by supervised learning
This article surveys three techniques for enhancing heuristic game-tree search pioneered in the author's Othello program Logistello, which dominated the computer Othello scen...
Michael Buro