Results 31 to 40 of about 7,953 (261)

Local Descriptor Learning for Change Detection in Synthetic Aperture Radar Images via Convolutional Neural Networks

open access: yesIEEE Access, 2019
In this paper, we present a novel convolutional neural network (CNN)-based model for change detection in synthetic aperture radar (SAR) images. Considering that change detection task takes image pairs as an input, we first explore multiple neural network
Huihui Dong   +4 more
doaj   +1 more source

On the Complexity of Inner Product Similarity Join [PDF]

open access: yesProceedings of the 35th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems, 2016
A number of tasks in classification, information retrieval, recommendation systems, and record linkage reduce to the core problem of inner product similarity join (IPS join): identifying pairs of vectors in a collection that have a sufficiently large inner product.
Ahle, Thomas D.   +3 more
openaire   +3 more sources

I/O-Efficient Similarity Join [PDF]

open access: yesAlgorithmica, 2015
We present an I/O-efficient algorithm for computing similarity joins based on locality-sensitive hashing (LSH). In contrast to the filtering methods commonly suggested our method has provable sub-quadratic dependency on the data size. Further, in contrast to straightforward implementations of known LSH-based algorithms on external memory, our approach ...
Rasmus Pagh   +3 more
openaire   +8 more sources

INNOVATIVE CLUSTERS OF BUSINESS ACCELERATORS IN THE SPHERE OF SCIENCE AND TECHNOLOGY ENTREPRENEURSHIP

open access: yesBaltic Journal of Economic Studies, 2018
In a broad sense, the author’s study was preconditioned by the problem of arranging the efficient system for positioning of the enterprises of venture entrepreneurship acceleration and incubation that today is quite a controversial aspect.
Mykhailo Ryabokon, Yurii Pikalov
doaj   +1 more source

Massjoin: A mapreduce-based method for scalable string similarity joins [PDF]

open access: yes, 2014
—String similarity join is an essential operation in data integration. The era of big data calls for scalable algorithms to support large-scale string similarity joins. In this paper, we study scalable string similarity joins using MapReduce.
Jianhua Feng   +4 more
core   +1 more source

The kinds of Ya in today Persian languag [PDF]

open access: yesLiterary Arts, 2014
Diversity of suffix ‘-i’, called ‘ya’, in Persian language, which is of important consideration, for any reason, has not been able to attract scholars and grammarians in the field of Persian language. Here is an attempt to mention different kinds of ‘ya’
S.Mohammadreza Ebnorrasool   +1 more
doaj   +1 more source

Trajectory similarity join in spatial networks [PDF]

open access: yesProceedings of the VLDB Endowment, 2017
The matching of similar pairs of objects, called similarity join, is fundamental functionality in data management. We consider the case of trajectory similarity join (TS-Join), where the objects are trajectories of vehicles moving in road networks. Thus, given two sets of trajectories and a threshold θ , the TS-Join
Shuo Shang   +5 more
openaire   +3 more sources

Set Similarity Joins with Complex Expressions on Distributed Platforms

open access: yes, 2018
Set Similarity Joins with Complex Expressions on Distributed ...
Borges, Felipe Ferreira   +3 more
core   +2 more sources

Towards a unified framework for string similarity joins [PDF]

open access: yes, 2019
A similarity join aims to find all similar pairs between two collections of records. Established algorithms utilise different similarity measures, either syntactic or semantic, to quantify the similarity between two records.
Xu, Pengfei, Lu, Jiaheng
core   +1 more source

Transferrin receptor 1‐mediated iron uptake supports thermogenic activation in human cervical‐derived adipocytes

open access: yesFEBS Letters, EarlyView.
In this study, we found that human cervical‐derived adipocytes maintain intracellular iron level by regulating the expression of iron transport‐related proteins during adrenergic stimulation. Melanotransferrin is predicted to interact with transferrin receptor 1 based on in silico analysis.
Rahaf Alrifai   +9 more
wiley   +1 more source

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