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» Learning Significant Locations and Predicting User Movement ...
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ICSNC
2007
IEEE
13 years 12 months ago
Movement Prediction Using Bayesian Learning for Neural Networks
Nowadays, path prediction is being extensively examined for use in the context of mobile and wireless computing towards more efficient network resource management schemes. Path pr...
Sherif Akoush, Ahmed Sameh
ICANN
2010
Springer
13 years 6 months ago
A Learned Saliency Predictor for Dynamic Natural Scenes
Abstract. We investigate the extent to which eye movements in natural dynamic scenes can be predicted with a simple model of bottom-up saliency, which learns on different visual re...
Eleonora Vig, Michael Dorr, Thomas Martinetz, Erha...
CHI
2002
ACM
14 years 5 months ago
Movement model, hits distribution and learning in virtual keyboarding
In a ten-session experiment, six participants practiced typing with an expanding rehearsal method on an optimized virtual keyboard. Based on a large amount of in-situ performance ...
Shumin Zhai, Alison E. Sue, Johnny Accot
PERCOM
2003
ACM
14 years 5 months ago
Location Aware Resource Management in Smart Homes
Abstract-- The rapid advances in a wide range of wireless access technologies along with the efficient use of smart spaces have already set the stage for development of smart homes...
Abhishek Roy, Soumya K. Das Bhaumik, Amiya Bhattac...
MASS
2010
353views Communications» more  MASS 2010»
13 years 10 days ago
Trailing mobile sinks: A proactive data reporting protocol for Wireless Sensor Networks
In Wireless Sensor Networks (WSN), data gathering using mobile sinks typically incurs constant propagation of sink location indication messages to guide the direction of data repor...
Xinxin Liu, Han Zhao, Xin Yang, Xiaolin Li, Ning W...