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EIM: Efficient online Interference Measurement in Wireless Sensor Networks
Efficient online Interference Measurement in Wireless Sensor Networks
2016/1/23
In wireless sensor networks, knowing real signal interferences (received signal strength or RSS) from other sensors to cared sensor is critically important for protocol design and for many application...
Banning Foreign Pharmacies from Sponsored Search: The Online Consumer Response
Online Prescription Drug Internet Search Foreign Pharmacy Drug Safety
2015/9/21
Increased competition from the Internet has raised concerns for the quality of online prescription drugs. Given the illegality of importing unapproved prescription drugs into the U.S. and the
pressur...
WEB-BASED NETWORK SAMPLING: EFFICIENCY AND EFFICACY OF RESPONDENT-DRIVEN SAMPLING FOR ONLINE RESEARCH
EFFICIENCY ONLINE RESEARCH
2015/9/11
WEB-BASED NETWORK SAMPLING: EFFICIENCY AND EFFICACY OF RESPONDENT-DRIVEN SAMPLING FOR ONLINE RESEARCH.
Recommendations for Using Online Social Networking Technologies to Reduce Inaccurate Online Health Information
Online social networking technologies Online sources of health information
2015/7/21
This short report highlights patients' increasing use of the Internet and online social networking technologies to seek health information, and the consequences of gaining information from sites with ...
Ideology and Online News
news internet echo chambers
2015/7/17
News consumption is moving online. If this move fundamentally changes how news is produced and consumed it will have important ramifications for politics. In this chapter we formulate a model of...
A mass-conserving and multi-tracer efficient transport scheme in the online integrated Enviro-HIRLAM model
A mass-conserving multi-tracer effi cient transport scheme
2014/12/12
In this paper a new advection scheme for the
online coupled chemical–weather prediction model EnviroHIRLAM is presented.
Online Non-Negative Convolutive Pattern Learning for Speech Signals
Non-negative matrix factorization convolutive NMF online pattern learning sparse coding speech processing speech recognition
2013/6/28
The unsupervised learning of spectro-temporal patterns within speech signals is of interest in a broad range of applications. Where patterns are non-negative and convolutive in nature, relevant learni...
A FRAMEWORK FOR ONLINE SPATIO-TEMPORAL DATA VISUALIZATION BASED ON HTML5
Spatio-temporal data Web based visualization HTML5 WebSocket Canvas
2014/4/25
Web is entering a new phase – HTML5. New features of HTML5 should be studied for online spatio-temporal data visualization. In the proposed framework, spatio-temporal data is stored in the data server...
Online Selection of Discriminative Features Using Bayes Error Rate for Visual Tracking
Feature Selection Bayes Error Rate Visual Tracking
2010/12/16
Online feature selection using Bayes error rate is proposed to address visual tracking problem, where the appearances of the tracked object and scene background change during tracking. Given likelihoo...
In this paper we propose an on-line learning system for objectionable image filtering. Firstly, the system applies a robust skin detector to generate skin mask image, then features of color, skin text...
An Online Incremental Language Model Adaptation Method
Online Incremental Language Model Adaptation Method
2013/6/27
In this paper, an online incremental language model adaptation method is proposed, which is different from the traditional offline language model adaptation method. There are some problems in the onli...