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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.
GLOBAL UNCERTAINTY IN EPIPOLAR GEOMETRY VIA FULLY AND PARTIALLY DATA-DRIVEN SAMPLING
Relative orientation Stucture from Motion Epipolar Geometry
2015/8/14
In this paper we explore the relative efficiency of various data-driven sampling techniques for estimating the epipolar geometry and its global uncertainty. We explore standard fully data-driven...
“People Hearing Without Listening”:An Introduction To Compressive Sampling
People Hearing Without Listening Compressive Sampling
2015/6/17
The conventional approach to sampling signals or images follows the celebrated Shannon sampling theorem: the sampling rate must be at least twice the maximum frequency present in the signal (the so-ca...
A single-photon sampling architecture for solid-state imaging sensors
A single-photon sampling architecture solid-state imaging sensors
2015/6/17
Advances in solid-state technology have enabled the development of silicon photomultiplier sensor arrays capable of sensing individual photons. Combined with high-frequency time-todigital converters (...
Deterministic Sampling Algorithms for Network Design
Approximation algorithms Derandomization Network design
2012/12/3
For several NP-hard network design problems, the best known approximation algorithms are remarkably simple randomized algorithms called SampleAugment algorithms in Gupta et al. (J. ACM 54(3):11, 2007)...
Low Bit-rate Image Coding via Interpolation Oriented Adaptive Down-sampling
Low Bit-rate Image Coding Interpolation Oriented Adaptive Down-sampling
2010/12/21
An interpolation oriented adaptive down-sampling algorithm is proposed for low bit-rate image coding in this paper.Given an image, the proposed algorithm is able to obtain a low resolution image, from...
Expand Training Set for Face Detection by GA Re-sampling
Expand Training Set Face Detection GA Re-sampling
2010/12/15
Data collection for both training and testing a classifier is a tedious but essential step towards face detection and recognition. All of the statistical methods suffer from this problem. This paper p...