Results 1 to 10 of about 31,142 (265)
Annotations in Data Streams [PDF]
The central goal of data stream algorithms is to process massive streams of data using sublinear storage space. Motivated by work in the database community on outsourcing database and data stream processing, we ask whether the space usage of such algorithms can be further reduced by enlisting a more powerful “helper”
Amit Chakrabarti +3 more
core +5 more sources
Nowadays many applications require to analyse the continuous flow of data produced by different data sources before the data is stored. Data streaming engines emerged as a solution for processing data on the fly. At the same time, computer architectures have evolved to systems with several interconnected CPUs and Non Uniform Memory Access (NUMA), where
Patiño Martínez, Marta +1 more
openaire +3 more sources
Dynamic Data Streaming for an Appliance [PDF]
Many applications require to analyse large amounts of continuous flows of data produced by different data sources before the data is stored. Data streaming engines emerged as a solution for processing data on the fly. At the same time, computer architectures have evolved to systems with several interconnected CPUs and Non Uniform Memory Access (NUMA ...
Patiño Martínez, Marta +1 more
openaire +3 more sources
This work is devoted to a cost-effective method for the automatic placement of visual sensors within a smart room to ensure the requirements for its design.
Iaroslav Khutornoi +2 more
doaj +1 more source
Typically, the quality of the bitumen adhesion in asphalt mixtures is assessed manually by a group of experts who assign subjective ratings to the thickness of the residual bitumen coating on the gravel samples.
Dmitrii Kamianskii +4 more
doaj +1 more source
Semi-supervised segmentation of metastasis lesions in bone scan images
To develop a deep image segmentation model that automatically identifies and delineates lesions of skeletal metastasis in bone scan images, facilitating clinical diagnosis of lung cancer–caused bone metastasis by nuclear medicine physicians.
Qiang Lin +14 more
doaj +1 more source
Incident Retrieval and Recognition in Video Stream Using Wi-Fi Signal
Retrieving incidents from video stream plays an important role in many computer vision applications. However, most video surveillance system can neither recognize incidents nor support content-based retrieval before the video stream is saved into files ...
Yusheng Hao, Weilan Wang, Qiang Lin
doaj +1 more source
Variability in Data Streams [PDF]
We consider the problem of tracking with small relative error an integer function $f(n)$ defined by a distributed update stream $f'(n)$. Existing streaming algorithms with worst-case guarantees for this problem assume $f(n)$ to be monotone; there are very large lower bounds on the space requirements for summarizing a distributed non-monotonic stream ...
David Felber, Rafail Ostrovsky
openaire +2 more sources
A Robust Variable Selection Method for Sparse Online Regression via the Elastic Net Penalty
Variable selection has been a hot topic, with various popular methods including lasso, SCAD, and elastic net. These penalized regression algorithms remain sensitive to noisy data.
Wentao Wang +4 more
doaj +1 more source
FlexSketch: Estimation of Probability Density for Stationary and Non-Stationary Data Streams
Efficient and accurate estimation of the probability distribution of a data stream is an important problem in many sensor systems. It is especially challenging when the data stream is non-stationary, i.e., its probability distribution changes over time ...
Namuk Park, Songkuk Kim
doaj +1 more source

