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243
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SP
2008
IEEE
159views Security Privacy» more  SP 2008»
15 years 6 months ago
Inferring neuronal network connectivity from spike data: A temporal data mining approach
Abstract. Understanding the functioning of a neural system in terms of its underlying circuitry is an important problem in neuroscience. Recent developments in electrophysiology an...
Debprakash Patnaik, P. S. Sastry, K. P. Unnikrishn...
331
Voted
ICDCS
2012
IEEE
13 years 9 months ago
FindingHuMo: Real-Time Tracking of Motion Trajectories from Anonymous Binary Sensing in Smart Environments
Abstract—In this paper we have proposed and designed FindingHuMo (Finding Human Motion), a real-time user tracking system for Smart Environments. FindingHuMo can perform device-f...
Debraj De, Wen-Zhan Song, Mingsen Xu, Cheng-Liang ...
163
Voted
MM
2010
ACM
125views Multimedia» more  MM 2010»
15 years 7 months ago
Tenor: making coding practical from servers to smartphones
It has been theoretically shown that performing coding in networked systems, including Reed-Solomon codes, fountain codes, and random network coding, has a clear advantage with re...
Hassan Shojania, Baochun Li
168
Voted
ICML
2007
IEEE
16 years 7 months ago
Robust multi-task learning with t-processes
Most current multi-task learning frameworks ignore the robustness issue, which means that the presence of "outlier" tasks may greatly reduce overall system performance. ...
Shipeng Yu, Volker Tresp, Kai Yu
176
Voted
IEEEICCI
2005
IEEE
16 years 13 days ago
An empirical study of programmer learning during incremental software development
The paper presents a case study that investigates programmer learning during incremental program development. Dialog based protocol and protocol analysis are used to explore the l...
Shaochun Xu, Václav Rajlich, Andrian Marcus