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172
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BC
2002
193views more  BC 2002»
15 years 3 months ago
Resonant spatiotemporal learning in large random recurrent networks
Taking a global analogy with the structure of perceptual biological systems, we present a system composed of two layers of real-valued sigmoidal neurons. The primary layer receives...
Emmanuel Daucé, Mathias Quoy, Bernard Doyon
150
Voted
ITS
2000
Springer
159views Multimedia» more  ITS 2000»
15 years 7 months ago
Can We Learn from ITSs?
With the rise of VR, the internet, and mobile technologies and the shifts in educational focus from teaching to learning and from solitary to collaborative work, it's easy (bu...
Benedict du Boulay
150
Voted
MSWIM
2004
ACM
15 years 9 months ago
Mobile dynamic content distribution networks
Mobile networks are becoming increasingly popular as a means for distributing information to a large number of users. In comparison to wired networks, mobile networks are distingu...
Wagner Moro Aioffi, Geraldo Robson Mateus, Jussara...
129
Voted
MOBICOM
2010
ACM
15 years 3 months ago
Exploiting temporal stability and low-rank structure for localization in mobile networks
Localization is a fundamental operation for many wireless networks. While GPS is widely used for location determination, it is unavailable in many environments either due to its h...
Swati Rallapalli, Lili Qiu, Yin Zhang, Yi-Chao Che...
153
Voted
ICDCS
2011
IEEE
14 years 3 months ago
E-Shadow: Lubricating Social Interaction Using Mobile Phones
—In this paper, we propose E-Shadow, a distributed mobile phone-based local social networking system. E-Shadow has two main components: (1) Local profiles. They enable EShadow u...
Jin Teng, Boying Zhang, Xinfeng Li, Xiaole Bai, Do...