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» Mobile learning: A framework and evaluation
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CCS
2009
ACM
14 years 3 months ago
A framework for quantitative security analysis of machine learning
We propose a framework for quantitative security analysis of machine learning methods. Key issus of this framework are a formal specification of the deployed learning model and a...
Pavel Laskov, Marius Kloft
ICETE
2004
253views Business» more  ICETE 2004»
13 years 10 months ago
BLAZE: A Mobile Agent Paradigm for VoIP Intrusion Detection Systems
ser provides abstraction for supporting flexible security policies that can be developed using the low-level primitives of the browser. We believe our browser architecture will be ...
Kapil Singh, Son T. Vuong
CHI
2011
ACM
13 years 18 days ago
Deep shot: a framework for migrating tasks across devices using mobile phone cameras
A user task often spans multiple heterogeneous devices, e.g., working on a PC in the office and continuing the work on a laptop or a mobile phone while commuting on a shuttle. How...
Tsung-Hsiang Chang, Yang Li
ML
1998
ACM
153views Machine Learning» more  ML 1998»
13 years 8 months ago
Bayesian Landmark Learning for Mobile Robot Localization
To operate successfully in indoor environments, mobile robots must be able to localize themselves. Most current localization algorithms lack flexibility, autonomy, and often optim...
Sebastian Thrun
CHI
2011
ACM
13 years 18 days ago
MOGCLASS: evaluation of a collaborative system of mobile devices for classroom music education of young children
Composition, listening, and performance are essential activities in classroom music education, yet conventional music classes impose unnecessary limitations on students’ ability...
Yinsheng Zhou, Graham Percival, Xinxi Wang, Ye Wan...