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» Large-scale extraction and use of knowledge from text
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CVPR
2012
IEEE
13 years 4 days ago
Unsupervised feature learning framework for no-reference image quality assessment
In this paper, we present an efficient general-purpose objective no-reference (NR) image quality assessment (IQA) framework based on unsupervised feature learning. The goal is to...
Peng Ye, Jayant Kumar, Le Kang, David S. Doermann
IPSN
2009
Springer
15 years 4 months ago
Predictive QoS routing to mobile sinks in wireless sensor networks
We present an algorithm for data delivery to mobile sinks in wireless sensor networks. Our algorithm is based on information potentials, which we extend to account for mobility. W...
Branislav Kusy, HyungJune Lee, Martin Wicke, Nikol...
IAJIT
2010
102views more  IAJIT 2010»
14 years 8 months ago
Multilayer neural network-burg combination for acoustical detection of buried objects
: A Burg technique is employed to model the long wavelength localization and imaging problem. A Burg method is used as a high resolution and stable technique. The idea of in-line h...
Mujahid Al-Azzo, Lubna Badri
BMCBI
2010
186views more  BMCBI 2010»
14 years 9 months ago
Knowledge-based biomedical word sense disambiguation: comparison of approaches
Background: Word sense disambiguation (WSD) algorithms attempt to select the proper sense of ambiguous terms in text. Resources like the UMLS provide a reference thesaurus to be u...
Antonio Jimeno Yepes, Alan R. Aronson
KDD
2007
ACM
160views Data Mining» more  KDD 2007»
15 years 10 months ago
Show me the money!: deriving the pricing power of product features by mining consumer reviews
The increasing pervasiveness of the Internet has dramatically changed the way that consumers shop for goods. Consumergenerated product reviews have become a valuable source of inf...
Nikolay Archak, Anindya Ghose, Panagiotis G. Ipeir...