Listar por tema "Large dataset"
Mostrando ítems 1-19 de 19
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Bimodal CT/MRI-based segmentation method for intervertebral disc boundary extraction
(2020)Intervertebral disc (IVD) localization and segmentation have triggered intensive research efforts in the medical image analysis community, since IVD abnormalities are strong indicators of various spinal cord-related ... -
Distance range queries in spatialhadoop
(2016)Efficient processing of Distance Range Queries (DRQs) is of great importance in spatial databases due to the wide area of applications. This type of spatial query is characterized by a distance range over one or two datasets. ... -
Distributed Fuzzy Cognitive Maps for Feature Selection in Big Data Classification
(2022)The features of a dataset play an important role in the construction of a machine learning model. Because big datasets often have a large number of features, they may contain features that are less relevant to the machine ... -
Efficient distance join query processing in distributed spatial data management systems
(2020)Due to the ubiquitous use of spatial data applications and the large amounts of such data these applications use, the processing of large-scale distance joins in distributed systems is becoming increasingly popular. Distance ... -
Efficient processing of all-k-nearest-neighbor queries in the MapReduce programming framework
(2019)Numerous modern applications, from social networking to astronomy, need efficient answering of queries on spatial data. One such query is the All k Nearest-Neighbor Query, or k Nearest-Neighbor Join, that takes as input ... -
EndoVAE: Generating Endoscopic Images with a Variational Autoencoder
(2022)The generalization performance of deep learning models is closely associated with the number and diversity of data available upon training. While in many applications there is a large number of data available in public, ... -
Evaluating the Effects of Modern Storage Devices on the Efficiency of Parallel Machine Learning Algorithms
(2020)Big Data analytics is presently one of the most emerging areas of research for both organizations and enterprises. The requirement for deployment of efficient machine learning algorithms over huge amounts of data led to ... -
Improving Distance-Join Query processing with Voronoi-Diagram based partitioning in SpatialHadoop
(2020)SpatialHadoop is an extended MapReduce framework supporting global indexing techniques that partition spatial datasets across several machines and improve spatial query processing performance compared to traditional Hadoop ... -
MapReduce algorithms for the k group nearest-neighbor query
(2019)Given two datasets of points (called Query and Training), the Group (K) Nearest Neighbor (GNN) query retrieves (K) points of the Training dataset with the smallest sum of distances to every point of the Query one. This ... -
Multi-task Learning for User Engagement and Adoption in Live Video Streaming Events
(2021)Nowadays, live video streaming events have become a mainstay in viewer’s communication in large international enterprises. Provided that viewers are distributed worldwide, the main challenge resides on how to schedule the ... -
Multimodal Video Summarization based on Fuzzy Similarity Features
(2022)The continuously growing number of user-generated videos has increased the need for efficient browsing through content collections and repositories, which in turn requires descriptive, yet compact representations. To this ... -
Nonlinear model updating through a hierarchical Bayesian modeling framework
(2022)A new time-domain probabilistic technique based on hierarchical Bayesian modeling (HBM) framework is proposed for calibration and uncertainty quantification of hysteretic type nonlinearities of dynamical systems. Specifically, ... -
Parallel processing of spatial batch-queries using xBR + -trees in solid-state drives
(2020)Efficient query processing in spatial databases is of vital importance for numerous modern applications. In most cases, such processing is accomplished by taking advantage of spatial indexes. The xBR +-tree is an index for ... -
PU learning-based recognition of structural elements in architectural floor plans
(2021)This work introduces a computational method for the recognition of structural elements in architectural floor plans. The proposed method requires minimal user interaction and is capable of effectively analysing floor plans ... -
A Recommender System based on Intuitionistic Fuzzy Sets for Software Requirements Prioritization
(2021)Requirements Prioritization (RP) is an important activity in requirements engineering aiming to give priority and order to requirements for implementation in the next version of a software project. RP is applied iteratively, ... -
Retrieving sparser fuzzy cognitive maps directly from categorical ordinal dataset using the graphical lasso models and the MAX-threshold algorithm
(2020)Learning FCM models from data without any a priori knowledge and expert intervention remains a considerable problem. This research study utilizes a fully data-based learning method (the glassoFCM) for automatic design of ... -
Summarization of User-Generated Videos Fusing Handcrafted and Deep Audiovisual Features
(2022)The ever-increasing amount of user-generated audiovisual content has increased the demand for easy navigation across content collections and repositories, necessitating detailed, yet concise content representations. A ... -
A supervised machine learning classification algorithm for research articles
(2013)The issue of the automatic classification of research articles into one or more fields of science is of primary importance for scientific databases and digital libraries. A sophisticated classification strategy renders ... -
Ultra low-cycle fatigue performance of S420 and S700 steel welded tubular X-joints
(2019)The present study is motivated by the need for improving the fatigue performance of offshore wind energy structural systems. In particular, the ultra low-cycle fatigue performance of welded tubular X-joints is examined, ...