نتایج جستجو برای: streaming sampling

تعداد نتایج: 232078  

2006
Mingzhe Li Emmanuel Agu Jae Chung Choong-Soo Lee Feng Li Rui Lu Chunling Ma Huahui Wu

As streaming techniques and wireless access networks become more widely deployed, a streaming multimedia connection with the “last mile” being a wireless network is becoming increasingly common. However, since current streaming techniques are primarily designed for wired networks, streaming multimedia applications can perform poorly in wireless networks. Recent research has shown that the wirel...

2013
Yifeng He Ahmed Khan

Peer-to-Peer (P2P) streaming systems provide a large number of channels to users. The streaming capacity for a channel is defined as the maximum streaming rate that can be received by every user in the channel. In the this paper, we study the streaming capacity problem in both tree-based and mesh-based P2P live streaming systems. In tree-based multi-channel P2P live streaming systems, we propos...

Journal: :Proceedings of the ACM on programming languages 2021

Probabilistic programming languages aid developers performing Bayesian inference. These provide constructs and tools for probabilistic modeling automated Prior work introduced a language, ProbZelus, to extend functionality unbounded streams of data. This demonstrated that the delayed sampling inference algorithm could be extended in streaming context. ProbZelus showed while effectively deployed...

Journal: :Jurnal riset pendidikan ekonomi 2022

This study aims to examine the effect of servicescape and trust on interest in buying bags moderated by personal selling. research was conducted Greater Jakarta area. The sampling technique used purposive method. data is primary collected distributing questionnaires consumers using live streaming Facebook. Hypothesis testing carried out PLS analysis based statistical tests, results show that ha...

2018
Rajesh Jayaram David P. Woodruff

Two prevalent models in the data stream literature are the insertion-only and turnstile models. Unfortunately, many important streaming problems require a Θ(log(n)) multiplicative factor more space for turnstile streams than for insertion-only streams. This complexity gap often arises because the underlying frequency vector f is very close to 0, after accounting for all insertions and deletions...

Journal: :PLoS ONE 2007
Toshiyuki Takahashi Yohji Shirai Toshikazu Kosaka Hiroshi Hosoya

A green ciliate Paramecium bursaria, bearing several hundreds of endosymbiotic algae, demonstrates rotational microtubule-based cytoplasmic streaming, in which cytoplasmic granules and endosymbiotic algae flow in a constant direction. However, its physiological significance is still unknown. We investigated physiological roles of cytoplasmic streaming in P. bursaria through host cell cycle usin...

2016
Zhipeng Ouyang Byrav Ramamurthy Lisong Xu

Ouyang, Zhipeng, "On heterogeneous user demands in peer-to-peer video streaming systems" (2012). A Peer-to-Peer (P2P) video streaming system usually consists of a large number of peers, which have heterogeneous physical properties. Orthogonal to the physical heterogeneity, there is another type of heterogeneity called demand heterogeneity. Namely, peers have their own demands on the quality and...

Journal: :Veterinary dermatology 2016
Kimberly L Lo Wayne S Rosenkrantz

BACKGROUND Canine bacterial and Malassezia paronychia are common secondary complications of atopic dermatitis and adverse food reactions. HYPOTHESIS/OBJECTIVES The aim of this study was to compare three different sampling methods for claw fold cytology and to evaluate the numbers of bacteria, Malassezia yeast and inflammatory cells. ANIMALS Sixty client-owned dogs were classified into three...

2011
Yusuke Gotoh Kentaro Suzuki Tomoki Yoshihisa Hideo Taniguchi Masanori Kanazawa

Due to the recent spread of streaming delivery of movies, streaming using Peer-to-Peer (P2P) streaming technology has attracted much attention. In P2P streaming systems, to distribute the network load, peers from which the user receives data is selected at random. For this, clients have to wait until their desired data is delivered. Therefore, there are many researches to reduce the waiting tim...

Journal: :CoRR 2016
Rocco De Rosa

Decision tree classifiers are a widely used tool in data stream mining. The use of confidence intervals to estimate the gain associated with each split leads to very effective methods, like the popular Hoeffding tree algorithm. From a statistical viewpoint, the analysis of decision tree classifiers in a streaming setting requires knowing when enough new information has been collected to justify...

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