Extended a Priori Probability (EAPP): A Data-Driven Approach for Machine Learning Binary Classification Tasks

Autor: Vicent Ortiz Castello, Francisco Javier Perez-Benito, Omar Del Tejo Catala, Ismael Salvador Igual, Rafael Llobet, Juan-Carlos Perez-Cortes

Publikováno v: IEEE Access, Vol 10, Pp 120074-120085 (2022)

The a priori probability of a dataset is usually used as a baseline for comparing a particular algorithm’s accuracy in a given binary classification task. ZeroR is the simplest algorithm for this, predicting the majority class for all examples. How

Externí odkaz: https://doaj.org/article/56a3bbcdbb8040c2a32649c983008814

Real-time on-board pedestrian detection using generic single-stage algorithms and on-road databases

Autor: Vicent Ortiz Castelló, Omar del Tejo Catalá, Ismael Salvador Igual, Juan-Carlos Perez-Cortes

Publikováno v: International Journal of Advanced Robotic Systems, Vol 17 (2020)

Pedestrian detection is a particular case of object detection that helps to reduce accidents in advanced driver-assistance systems and autonomous vehicles. It is not an easy task because of the variability of the objects and the time constraints. A p

Externí odkaz: https://doaj.org/article/685f9ae0bdf146ebb4fff7025ecb7905

A System for In-Line 3D Inspection without Hidden Surfaces

Autor: Juan-Carlos Perez-Cortes, Alberto J. Perez, Sergio Saez-Barona, Jose-Luis Guardiola, Ismael Salvador

Publikováno v: Sensors, Vol 18, Iss 9, p 2993 (2018)

This work presents a 3D scanner able to reconstruct a complete object without occlusions, including its surface appearance. The technique presents a number of differences in relation to current scanners: it does not require mechanical handling like r

Externí odkaz: https://doaj.org/article/24691c0a49594ed9b50cc9efe736900d

Real-time on-board pedestrian detection using generic single-stage algorithms and on-road databases

Autor: V. Ortiz, Juan-Carlos Perez-Cortes, Omar del Tejo Catala, Ismael Salvador Igual

Publikováno v: International Journal of Advanced Robotic Systems, Vol 17 (2020)
International Journal of Advanced Robotic Systems
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
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[EN] Pedestrian detection is a particular case of object detection that helps to reduce accidents in advanced driver-assistance systems and autonomous vehicles. It is not an easy task because of the variability of the objects and the time constraints

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5fa17b849dff17d4301d46016ca6b65b
https://doaj.org/article/685f9ae0bdf146ebb4fff7025ecb7905

INTEGRATED HANDWRITING RECOGNITION AND INTERPRETATION USING FINITE-STATE MODELS

Autor: Enrique Vidal, Francisco Casacuberta, Alejandro Héctor Toselli, Ismael Salvador, Alfons Juan, Jorge González, Hermann Ney, Daniel Keysers

Publikováno v: International Journal of Pattern Recognition and Artificial Intelligence. 18:519-539

The interpretation of handwritten sentences is carried out using a holistic approach in which both text image recognition and the interpretation itself are tightly integrated. Conventional approaches follow a serial, first-recognition then-interpreta

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::18f6ad984b33efc4710d7d7ed2af8452
https://doi.org/10.1142/s0218001404003344