Listar DIAN-Artículos, capítulos... por título
Mostrando ítems 135-154 de 189
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Parallel evaluation of Pittsburgh rule-based classifiers on GPUs
(2017-01-19)Individuals from Pittsburgh rule-based classifiers represent a complete solution to the classification problem and each individual is a variable-length set of rules. Therefore, these systems usually demand a high level ... -
Parallelization Strategies for Markerless Human Motion Capture
(2015-10-15)Markerless Motion Capture (MMOCAP) is the problem of determining the pose of a person from images captured by one or several cameras simultaneously without using markers on the subject. Evaluation of the solutions is ... -
Paravertebral Muscle Mechanical Properties and Spinal Range of Motion in Patients with Acute Neck or Low Back Pain: A Case-Control Study
(MDPI, 2021)Our aims were to identify potential differences in muscle mechanical properties (MMPs) of cervical and lumbar tissues and in spinal range of motion (ROM) between patients with acute low back pain (LBP) or acute neck pain ... -
Paravertebral Muscle Mechanical Properties in Patients with Axial Spondyloarthritis or Low Back Pain: A Case-Control Study
(MDPI, 2021)Different musculoskeletal disorders are a source of pain in the spinal region; most of them can be divided into mechanical, such as low back pain (LBP), or inflammatory origins, as is the case of axial spondyloarthritis ... -
PARIS: Partial instance and training set selection. A new scalable approach to multi-label classification
(Elsevier, 2023)Multi-label classification has recently attracted research interest as a data mining task. Many current applications in data mining address problems that have instances belonging to more than one class. This requires the ... -
Procedimiento de Autentificación de Obras de Arte Digital
(Oficina de Transferencia de Resultados de la Investigación, 2013)La presente invención se refiere a un procedimiento que permite autentificar obras de arte, preferentemente de arte digital, es decir, el que se realiza con dispositivos electrónicos de computación, aunque podría aplicarse ... -
Process mining for self-regulated learning assessment in e-learning
(Springer, 2020)Content assessment has broadly improved in e-learning scenarios in recent decades. However, the eLearning process can give rise to a spatial and temporal gap that poses interesting challenges for assessment of not only ... -
Programa COINCIDENTE: el proyecto MANPREDIC
(Oficina de Transferencia de Resultados de la Investigación, 2019) -
Projection based ensemble learning for ordinal regression
(2013-10-08)The classification of patterns into naturally ordered labels is referred to as ordinal regression. This paper proposes an ensemble methodology specifically adapted to this type of problems, which is based on computing ... -
Proposal for the Design of Monitoring and Operating Irrigation Networks Based on IoT, Cloud Computing and Free Hardware Technologies
(MDPI, 2019)In recent decades, considerable efforts have been devoted to process automation in agriculture. Regarding irrigation systems, this demand has found several difficulties, including the lack of communication networks and the ... -
Pyramidal Fisher Motion for Multiview Gait Recognition
(2017-01-17)The goal of this paper is to identify individuals by analyzing their gait. Instead of using binary silhouettes as input data (as done in many previous works) we propose and evaluate the use of motion descriptors based on ... -
Radar milimétrico
(Oficina de Transferencia de Resultados de la Investigación, 2013)El sistema de radar consiste en un complejo grupo de medios técnicos de carácter universal y funcional (observación, control ecológico, vigilancia, dirección de tráfico marítimo) de las aguas del mar, del océano, de otros ... -
Recomputing Causality Assignments on Lumped Process Models When Adding New Simplification Assumptions
(MDPI, 2018)This paper presents a new algorithm for the resolution of over-constrained lumped process systems, where partial differential equations of a continuous time and space model of the system are reduced into ordinary ... -
Reducing gaps in quantitative association rules: A genetic programming free-parameter algorithm
(IOS Press, 2014)The extraction of useful information for decision making is a challenge in many different domains. Association rule mining is one of the most important techniques in this field, discovering relationships of interest among ... -
Reflection-aware generation and identification of square marker dictionaries
(MDPI, 2022)Square markers are a widespread tool to find correspondences for camera localization because of their robustness, accuracy, and detection speed. Their identification is usually based on a binary encoding that accounts for ... -
Regresión no lineal mediante la evolución de modelos Híbridos de Redes Neuronales
(Comité Organizador de MAEB'05, 2005)El presente trabajo es una primera aproximación a la formación de modelos de redes neuronales con unidades ocultas de tipo híbrido (sigmoides, producto) que siendo aproximadores universales, puedan utilizarse como ... -
Remote Sensing and Archaeology from Spanish LiDAR - PNOA: Identifying the Amphitheatre of the Roman City of Torreparedones (Córdoba - Andalucía - Spain )
(University of the Aegean, 2017)Between 2015 and 2016 the Instituto Geográfico Nacional de España (Spanish Geographical Institute) made public the results of a LiDAR fl ight over the entire national territory. In the case of Andalucía, this flight was ... -
ReSLAM: Reusable SLAM with heterogeneous cameras
(Elsevier, 2024)State-of-the-art SLAM methods are designed to work only with the type of camera employed to create the map, and little attention has been paid to the reusability of the maps created. In other words, the maps generated by ... -
Rigidity results for complete spacelike submanifolds in plane fronted waves
(Springer, 2022)New rigidity results for complete non-compact spacelike submanifolds of arbitrary codimension in plane fronted waves are obtained. Under appropriate assumptions, we prove that a complete spacelike submanifold in these ... -
Rule-based preprocessing for data stream mining using complex event processing
(Wiley, 2021)Data preprocessing is known to be essential to produce accurate data from which mining methods are able to extract valuable knowledge. When data constantly arrives from one or more sources, preprocessing techniques need ...