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MVA
2007
191views Computer Vision» more  MVA 2007»
13 years 7 months ago
Face recognition using localized features based on non-negative sparse coding
Neural networks in the visual system may be performing sparse coding of learnt local features that are qualitatively
Bhavin J. Shastri, Martin D. Levine
CSL
2007
Springer
13 years 7 months ago
Articulatory feature recognition using dynamic Bayesian networks
This paper describes the use of dynamic Bayesian networks for the task of articulatory feature recognition. We show that by modeling the dependencies between a set of 6 multi-leve...
Joe Frankel, Mirjam Wester, Simon King
ASUNAM
2010
IEEE
13 years 9 months ago
Empirical Study of Social Features' Roles in Buyers' Complex Decision Making
This paper aims at studying the roles of social features (as obtained from social networking sources) in buyers' decision process when they are searching for products to buy. ...
Li Chen
ICC
2011
IEEE
206views Communications» more  ICC 2011»
12 years 7 months ago
Unveiling the Content-Centric Features of TCP
—Content-centric networking has been proposed as a new networking paradigm that is centered around the distribution of content. A key idea of content-centric networks is to addre...
Suman Srinivasan, Ivica Rimac, Volker Hilt, Moritz...
ISCC
2006
IEEE
14 years 1 months ago
SASA: A Synthesis Scheduling Algorithm with Prediction and Sorting Features
We present a new scheduling algorithm, which is a synthesis of all the remarkable features of pretransmission coordination-based protocols for broadcast and select star networks. ...
Panagiotis G. Sarigiannidis, Georgios I. Papadimit...