Results 31 to 40 of about 21,934,771 (354)
A Flame Detection Method Based on Novel Gradient Features
Journal of Intelligent Systems, 2018 In this study, we present a novel approach to efficiently detect the flame in multiple scenes in an image. The method uses a set of parametric representation named as Gradient Features (GF), to learn the features of flame color changes in the image ...
Liping Zhu +5 more
doaj +1 more source
Revisiting Local Descriptors via Frequent Pattern Mining for Fine-Grained Image Retrieval
Entropy, 2022 Fine-grained image retrieval aims at searching relevant images among fine-grained classes given a query. The main difficulty of this task derives from the small interclass distinction and the large intraclass variance of fine-grained images, posing ...
Min Zheng, Yangliao Geng, Qingyong Li
doaj +1 more source
Data Mining Concepts and Techniques
, 2010 Understand the need for analyses of large, complex, information-rich data sets. Identify the goals and primary tasks of the data-mining process. Describe the roots of data-mining technology.
S. Gnanapriya +3 more
semanticscholar +1 more source
Privacy Preserving Data Mining
Advances in Information Security, 2015 Recent interest in data collection and monitoring using data mining for security and business-related applications has raised privacy. Privacy Preserving Data Mining (PPDM) techniques require data modification to disinfect them from sensitive information
J. Vaidya, Yu Zhu, C. Clifton
semanticscholar +1 more source
Remote Sensing, 2021 Landform recognition is one of the most significant aspects of geomorphology research, which is the essential tool for landform classification and understanding geomorphological processes.
Siwei Lin, Nan Chen, Zhuowen He
doaj +1 more source
InformationInformation from social networks is currently being widely used in many application domains, although in the music recommendation area, its use is less common because of the limited availability of social data. However, most streaming platforms allow for
Diego Sánchez-Moreno +4 more
doaj +1 more source
Big Graph Mining: Frameworks and Techniques [PDF]
, 2016 Big graph mining is an important research area and it has attracted considerable attention. It allows to process, analyze, and extract meaningful information from large amounts of graph data. Big graph mining has been highly motivated not only by the tremendously increasing size of graphs but also by its huge number of applications.
arxiv +1 more source
Psychological Methods, 2019 Data mining methods offer a powerful tool for psychologists to capture complex relations such as interaction and nonlinear effects without prior specification. However, interpreting and integrating information from data mining models can be challenging.
Maxwell Hong +2 more
openaire +4 more sources
, 2016 Once three-dimensional reconstructions have been performed, most of the work required to access the information contained in the data set has to be done. Potential features of interest are numerous (eg, interfaces, particles, solid solution, clusters, and dislocations) and the relevance of the tool(s) to be used is tightly linked to the question to be ...
Lefebvre-Ulrikson, W. +3 more
openaire +7 more sources