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Listar por palabra clave "Pattern recognition"

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A comparative study of Neural Machine Translation frameworks for the automatic translation of open data resources

Iranzo Sánchez, Javier (Universitat Politècnica de València, 2018-09-11)

[EN] Machine Translation (MT) is one of the most active areas in Artificial Intelligence, particularly in Pattern Recognition. MT has recently received a great deal of attention by key technology players such as Google, ...
A comparison study of pattern recognition algorithms implemented on a microcontroller for use in an electronic tongue for monitoring drinking waters

Garcia-Breijo, Eduardo; J.K. Atkinson; Gil Sánchez, Luís; Masot Peris, Rafael; Ibáñez Civera, Francisco Javier; Garrigues Baixauli, José; M. Glanc; Laguarda-Miro, Nicolas; Olguín Pinatti, Cristian Ariel (Elsevier, 2011)

A portable electronic tongue has been developed using an array of eighteen thick-film electrodes of different materials forming a multi-electrode array. A microcontroller is used to implement the pattern recognition. The ...
A new interval prediction methodology for short-term electric load forecasting based on pattern recognition

Serrano-Guerrero, Xavier; Briceño-León, Marco; Clairand, Jean-Michel; Escrivá-Escrivá, Guillermo (Elsevier, 2021-09-01)

[EN] Demand prediction has been playing an increasingly important role for electricity management, and is fundamental to the corresponding decision-making. Due to the high variability of the increasing electrical load, and ...
A Study of Deep Learning Methods for Image Classification

Xinyu, Li (Universitat Politècnica de València, 2022-05-10)

[ES] En este proyecto se implementarán métodos de aprendizaje profundo basados en redes neuronales convolucionales (CNN) para problemas de clasificación de imágenes. El aprendizaje profundo (AP) es un enfoque ...
A Study of Early Fusion Methods for Multimodal Classification

Yang, Wanqiuyue (Universitat Politècnica de València, 2024-04-09)

[ES] Este proyecto implementará varias técnicas de fusión temprana de datos, es decir, fusión de nivel de entrada, aplicadas para mejorar el rendimiento de la clasificación multimodal automática. Se analizarán los repositorios ...
A Study of Feature Selection Methods for Classification

Liu, Chenyu (Universitat Politècnica de València, 2022-05-10)

[ES] En este proyecto se implementarán varias técnicas de selección de características que se aplican para mejorar el rendimiento de la clasificación automática. Se analizarán varios problemas de clasificación de un ...
A Study of Late Fusion Methods for Multimodal Classification

Zou, Dejian (Universitat Politècnica de València, 2024-04-09)

[ES] Este proyecto implementará varias técnicas de fusión tardía de datos aplicadas para mejorar el rendimiento de la clasificación multimodal automática. Se analizarán los repositorios de bases de datos disponibles ...
Accurate classification of childhood brain tumours by in vivo 1H MRS - a multi-centre study

Vicente Robledo, Javier; Fuster García, Elíes; Tortajada Velert, Salvador; García Gómez, Juan Miguel; Davies, Nigel; Natarajan, Kal; Wilson, Martin; Grundy, Richard G.; Wesseling, Pieter; Monleón, Daniel; Celda, Bernardo; Robles, Montserrat; Peet, Andrew C. (Elsevier, 2013-02)

Aims: To evaluate the accuracy of single-voxel Magnetic Resonance Spectroscopy (1H-MRS) as a non-invasive diagnostic aid for pediatric brain tumours in a multi-national study. Our hypotheses are (1) that automated cla ...
Active learning for dialogue act labelling

Ghigi, Fabrizio; Tamarit Ballester, Vicent; Martínez-Hinarejos, Carlos-D.; Benedí Ruiz, José Miguel (Springer Verlag (Germany), 2011)

Active learning is a useful technique that allows for a considerably reduction of the amount of data we need to manually label in order to reach a good performance of a statistical model. In order to apply active learning ...
Artificial Neural Networks for Short-Term Load Forecasting in Microgrids Environment Energy

Hernandez, Luis; Baladron, Carlos; Aguiar, Javier M.; Carro, Belen; Sanchez-Esguevillas, Antonio; Lloret, Jaime (Elsevier, 2014-10-01)

The adaptation of energy production to demand has been traditionally very important for utilities in order to optimize resource consumption. This is especially true also in microgrids where many intelligent elements have ...
Assessing contextual descriptive features for plot-based classification of urban areas

Hermosilla, T.; Ruiz Fernández, Luis Ángel; Recio Recio, Jorge Abel; Cambra López, María (Elsevier, 2012-05-15)

A methodology for mapping urban land-use types integrating information from multiple data sources (high spatial resolution imagery, LiDAR data, and cadastral plots) is presented. A large set of complementary descriptive ...
Automatic Generation of Ortho-Photo Texture from Digital Elevation Model

Lee, Eun-Seok; Jeong, Young-Sik; Hassan Mohamed, Houcine; Shin. Byeong-Seok; Park, Jong Hyuk (Springer-Verlag, 2017-10)

[EN] We propose the automatic generation of the ortho-photo data which support realistic scenes for DEM by texture mapping. This ortho-photo data is automatically generated by pattern recognition techniques using Bayesian ...
Automatic Pattern Identification Based on the Complex Empirical Mode Decomposition of the Startup Current for the Diagnosis of Rotor Asymmetries in Asynchronous Machines

Georgoulas, George; Tsoumas, Ioannis P.; Antonino-Daviu, J.; Climente Alarcón, Vicente; Stylios, Chrysostomos D.; Mitronikas, Epaminondas D.; Safacas, Athanasios N. (Institute of Electrical and Electronics Engineers, 2014)

[EN] This paper presents an advanced signal processing method applied to the diagnosis of rotor asymmetries in asynchronous machines. The approach is based on the application of complex empirical mode decomposition to the ...
Background rejection in NEXT using deep neural networks

Renner, J.; Farbin, A.; Muñoz Vidal, J.; Benlloch-Rodríguez, J.M.; Botas, A.; Ferrario, P.; Gómez-Cadenas, J.J.; Álvarez, V.; Azevedo, C.D.R.; Borges, F.I.G.; Cárcel, S.; Carrión, J.V.; Esteve Bosch, Raul; Herrero Bosch, Vicente; Mora Mas, Francisco José; Toledo Alarcón, José Francisco (IOP Publishing, 2017-01)

[EN] We investigate the potential of using deep learning techniques to reject background events in searches for neutrinoless double beta decay with high pressure xenon time projection chambers capable of detailed track ...
Benign /malignant classifier of soft tissue tumors using MR imaging

Garcia-Gomez, Juan M; Vidal, César; Martí-Bonmatí, Luís; Galant, Joaquín; Sans, Nicolas; Robles Viejo, Montserrat; Casacuberta Nolla, Francisco (Springer-Verlag, 2004-03)

[EN] This article presents a pattern-recognition approach to the soft tissue tumors (STT) benign/malignant character diagnosis using magnetic resonance (MR) imaging applied to a large multicenter database. Objective: To ...
CHARACTER-LEVEL INTERACTIONS IN MULTIMODAL COMPUTER-ASSISTED TRANSCRIPTION OF TEXT IMAGES

Martín-Albo Simón, Daniel (Universitat Politècnica de València, 2011-07-26)

HTR systems don't achieve acceptable results in unconstrained applications. Therefore, it is convenient to use a system that allows the user to cooperate in the most confortable way with the system to generate a correct ...
Classification of customers based on temporal load profile patterns

Benítez Sánchez, Ignacio Javier; Quijano Lopez, Alfredo; Delgado Espinos, Ignacio; Diez Ruano, José Luís (CIGRE Conseil international des grands réseaux électriques, 2017)

[EN] The deployment of Advanced Metering Infrastructure (AMI) is providing to utilities large amounts of energy consumption data from their customers, in form of daily load profiles with energy consumed per hour or a smaller ...
Comparació de les eines informàtiques TLK i Kaldi per al desenvolupament de sistemes de reconeixement de la parla en català/valencià

Baquero Arnal, Pau (Universitat Politècnica de València, 2016-09-05)

[CA] En aquest treball es comparen les eines de reconeixement de la parla TLK i Kaldi per al desenvolupament de sistemes de reeconeixement en catalá.
Contributions to High-Dimensional Pattern Recognition

Villegas Santamaría, Mauricio (Universitat Politècnica de València, 2011-05-20)

This thesis gathers some contributions to statistical pattern recognition particularly targeted at problems in which the feature vectors are high-dimensional. Three pattern recognition scenarios are addressed, namely pattern ...
Contributions to the joint segmentation and classification of sequences (My two cents on decoding and handwriting recognition)

España Boquera, Salvador (Universitat Politècnica de València, 2016-04-05)

[EN] This work is focused on problems (like automatic speech recognition (ASR) and handwritten text recognition (HTR)) that: 1) can be represented (at least approximately) in terms of one-dimensional sequences, and 2) ...