نتایج جستجو برای: streaming sampling

تعداد نتایج: 232078  

2012
Guibin Tian Yang Yong Liu Keith Ross

Adaptive streaming, such as Dynamic Adaptive Streaming over HTTP (DASH), has been widely deployed to provide uninterrupted video streaming service to users with dynamic network conditions. In this report, we analytically study the potential of using P2P in conjunction with adaptive streaming. Our focus is on how to provide incentives in P2P adaptive streaming. We first study P2P adaptive stream...

Journal: :AAOHN Journal 1996

Journal: :The Anatomical Record 1996

2013
Ahmed Abdolkhalig Rastko Zivanovic

This paper presents performance evaluation of a new architecture for phasor estimation within IEC 61850 substation Process-Bus. To benefit from the raw IEC 61850-9-2 Sampled Measured Values streamed with high sampling rate from various Merging Units at substation bay level, Unsented Kalman Filter is proposed to be utilized in the computation of Phasor at substation process level to enhance the ...

Journal: :Journal of Chemical Education 2008

Journal: :MedieKultur: Journal of Media and Communication Research 2021

2010
Mohammed Al-Kateb Byung Suk Lee

Reservoir sampling is a well-known technique for random sampling over data streams. In many streaming applications, however, an input stream may be naturally heterogeneous, i.e., composed of substreams whose statistical properties may also vary considerably. For this class of applications, the conventional reservoir sampling technique does not guarantee a statistically sufficient number of tupl...

2017
Michael B. Cohen Cameron Musco Christopher Musco

Often used as importance sampling probabilities, leverage scores have become indispensable in randomized algorithms for linear algebra, optimization, graph theory, and machine learning. A major body of work seeks to adapt these scores to low-rank approximation problems. However, existing “low-rank leverage scores” can be difficult to compute, often work for just a single application, and are se...

2010
Rakesh M. Verma

Keyword based search of data, such as documents, maps, images, audio and video data, is an everyday activity for many millions of people with myriad uses, e.g., scientific computing, digital libraries, the web, catalogs, geographical information systems, music servers, etc. In this paper, we present several declustering algorithms based on existing similarity measures as well as their generaliz...

Journal: :CoRR 2017
Daniel Ting

Sampling is a fundamental problem in both computer science and statistics. A number of issues arise when designing a method based on sampling. These include statistical considerations such as constructing a good sampling design and ensuring there are good, tractable estimators for the quantities of interest as well as computational considerations such as designing fast algorithms for streaming ...

نمودار تعداد نتایج جستجو در هر سال

با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید