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| Author | G. Gasbarri; Matias Bilkis; E. Roda Salichs; J. Calsamiglia | ||||
| Title | Sequential hypothesis testing for continuously-monitored quantum systems | Type | Journal Article | ||
| Year | 2024 | Publication | Quantum | Abbreviated Journal | |
| Volume | 8 | Issue | 1289 | Pages | |
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| Abstract | We consider a quantum system that is being continuously monitored, giving rise to a measurement signal. From such a stream of data, information needs to be inferred about the underlying system's dynamics. Here we focus on hypothesis testing problems and put forward the usage of sequential strategies where the signal is analyzed in real time, allowing the experiment to be concluded as soon as the underlying hypothesis can be identified with a certified prescribed success probability. We analyze the performance of sequential tests by studying the stopping-time behavior, showing a considerable advantage over currently-used strategies based on a fixed predetermined measurement time. | ||||
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xxxx | Approved | no | ||
| Call Number | Admin @ si @ GBR2024 | Serial | 3847 | ||
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| Author | Luca Ginanni Corradini; Simone Balocco; Luciano Maresca; Silvio Vitale; Matteo Stefanini | ||||
| Title | Anatomical Modifications After Stent Implantation: A Comparative Analysis Between CGuard, Wallstent, and Roadsaver Carotid Stents | Type | Journal Article | ||
| Year | 2023 | Publication | Journal of Endovascular Therapy | Abbreviated Journal | |
| Volume | 30 | Issue | 1 | Pages | 18-24 |
| Keywords | Ginanni Corradini L, Balocco S, Maresca L, Vitale S, Stefanini M. | ||||
| Abstract | Abstract
Purpose: Carotid revascularization can be associated with modifications of the vascular geometry, which may lead to complications. The changes on the vessel angulation before and after a carotid WallStent (WS) implantation are compared against 2 new dual-layer devices, CGuard (CG) and RoadSaver (RS). Materials and Methods: The study prospectively recruited 217 consecutive patients (112 GC, 73 WS, and 32 RS, respectively). Angiography projections were explored and the one having a higher arterial angle was selected as a basal view. After stent implantation, a stent control angiography was performed selecting the projection having the maximal angle. The same procedure is followed in all the 3 stent types to guarantee comparable conditions. The angulation changes on the stented segments were quantified from both angiographies. The statistical analysis quantitatively compared the pre-and post-angles for the 3 stent types. The results are qualitatively illustrated using boxplots. Finally, the relation between pre- and post-angles measurements is analyzed using linear regression. Results: For CG, no statistical difference in the axial vessel geometry between the basal and postprocedural angles was found. For WS and RS, statistical difference was found between pre- and post-angles. The regression analysis shows that CG induces lower changes from the original curvature with respect to WS and RS. Conclusion: Based on our results, CG determines minor changes over the basal morphology than WS and RS stents. Hence, CG respects better the native vessel anatomy than the other stents. Level of Evidence: Level 4, Case Series. |
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xxx | Approved | no | ||
| Call Number | Admin @ si @ GBM2023 | Serial | 4006 | ||
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| Author | Mingyi Yang; Fei Yang; Luka Murn; Marc Gorriz Blanch; Juil Sock; Shuai Wan; Fuzheng Yang; Luis Herranz | ||||
| Title | Task-Switchable Pre-Processor for Image Compression for Multiple Machine Vision Tasks | Type | Journal Article | ||
| Year | 2024 | Publication | IEEE Transactions on Circuits and Systems for Video Technology | Abbreviated Journal | |
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| Keywords | M Yang, F Yang, L Murn, MG Blanch, J Sock, S Wan, F Yang, L Herranz | ||||
| Abstract | Visual content is increasingly being processed by machines for various automated content analysis tasks instead of being consumed by humans. Despite the existence of several compression methods tailored for machine tasks, few consider real-world scenarios with multiple tasks. In this paper, we aim to address this gap by proposing a task-switchable pre-processor that optimizes input images specifically for machine consumption prior to encoding by an off-the-shelf codec designed for human consumption. The proposed task-switchable pre-processor adeptly maintains relevant semantic information based on the specific characteristics of different downstream tasks, while effectively suppressing irrelevant information to reduce bitrate. To enhance the processing of semantic information for diverse tasks, we leverage pre-extracted semantic features to modulate the pixel-to-pixel mapping within the pre-processor. By switching between different modulations, multiple tasks can be seamlessly incorporated into the system. Extensive experiments demonstrate the practicality and simplicity of our approach. It significantly reduces the number of parameters required for handling multiple tasks while still delivering impressive performance. Our method showcases the potential to achieve efficient and effective compression for machine vision tasks, supporting the evolving demands of real-world applications. | ||||
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xxx | Approved | no | ||
| Call Number | Admin @ si @ YYM2024 | Serial | 4007 | ||
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| Author | Daniel Marczak; Sebastian Cygert; Tomasz Trzcinski; Bartlomiej Twardowski | ||||
| Title | Revisiting Supervision for Continual Representation Learning | Type | Miscellaneous | ||
| Year | 2023 | Publication | Arxiv | Abbreviated Journal | |
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| Abstract | In the field of continual learning, models are designed to learn tasks one after the other. While most research has centered on supervised continual learning, recent studies have highlighted the strengths of self-supervised continual representation learning. The improved transferability of representations built with self-supervised methods is often associated with the role played by the multi-layer perceptron projector. In this work, we depart from this observation and reexamine the role of supervision in continual representation learning. We reckon that additional information, such as human annotations, should not deteriorate the quality of representations. Our findings show that supervised models when enhanced with a multi-layer perceptron head, can outperform self-supervised models in continual representation learning. | ||||
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xxx | Approved | no | ||
| Call Number | Admin @ si @ MCT2023 | Serial | 4013 | ||
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| Author | Daniel Ponsa; Antonio Lopez | ||||
| Title | Seguimiento Visual de Contornos Computerizado | Type | Miscellaneous | ||
| Year | 2009 | Publication | UAB Divulga, Revista de divulgacion cientifica | Abbreviated Journal | |
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spreading;ADAS | Approved | no | ||
| Call Number | ADAS @ adas @ PoL2009b | Serial | 1270 | ||
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| Author | David Geronimo; Antonio Lopez | ||||
| Title | Deteccion de Peatones para Sistemas Avanzados de Asistencia al Conductor | Type | Miscellaneous | ||
| Year | 2010 | Publication | UAB Divulga | Abbreviated Journal | |
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| Abstract | Los sistemas de asistencia al conductor, y particularmente los sistemas de protección de peatones, representan uno de los campos de investigación más activos dedicados a la mejora de la seguridad vial. El mayor desafío es el desarrollo de sistemas a bordo fiables de detección de peatones. En esta revisión del estado de la técnica de la detección de peatones, se divide el problema en diferentes etapas, cada una con responsabilidades propias dentro del sistema. Esta división facilita el posterior análisis y discusión de cada uno de los métodos en la literatura, favoreciendo la comparación entre ellos. Finalmente se discuten los temas más importantes de este campo poniendo especial énfasis en las necesidades actuales y los desafíos futuros. | ||||
| Address | Bellaterra (Catalonia), Spain | ||||
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spreading;ADAS | Approved | no | ||
| Call Number | ADAS @ adas @ GeL2010a | Serial | 1414 | ||
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| Author | Carme Julia; Angel Sappa; Felipe Lumbreras | ||||
| Title | Aprendiendo a recrear la realidad en 3D | Type | Journal | ||
| Year | 2008 | Publication | UAB Divulga, Revista de divulgacion cientifica | Abbreviated Journal | |
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spreading;ADAS | Approved | no | ||
| Call Number | ADAS @ adas @ JSL2008b | Serial | 1472 | ||
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| Author | David Geronimo; Antonio Lopez | ||||
| Title | Sistema de deteccion de peatones | Type | Miscellaneous | ||
| Year | 2010 | Publication | UAB Divulga | Abbreviated Journal | |
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| Abstract | Durante la próxima década, los sistemas de protección de peatones jugarán un papel fundamental en el reto de mejorar la seguridad viaria. El objetivo principal de estos sistemas, detectar peatones en entornos urbanos, implica procesar imágenes de escenas exteriores desde una plataforma móvil para buscar objetos de aspecto variable como son las personas. Dadas estas dificultades, estos sistemas hacen uso de las últimas técnicas de visión por computador. Esta propuesta consiste en un sistema de tres módulos basado tanto en información 2D como en 3D. El primer módulo utiliza información 3D para hacer una estimación de los parámetros de la carretera y seleccionar regiones de interés que serán analizadas después. El segundo módulo utiliza un clasificador de ventanas 2D para etiquetar las mencionadas regiones como peatón o no peatón. El módulo final vuelve a utilizar de nuevo la información 3D para verificar las regiones clasificadas y, con información 2D, refinar los resultados finales. Los resultados experimentales son positivos tanto en rendimiento como en tiempo de cómputo. | ||||
| Address | Bellaterra (Spain) | ||||
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spreading;ADAS | Approved | no | ||
| Call Number | ADAS @ adas @ GeL2010b | Serial | 1473 | ||
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| Author | Angel Sappa; M.A. Garcia | ||||
| Title | Aprendiendo a recrear la realidad en 3D | Type | Journal | ||
| Year | 2007 | Publication | UAB Divulga, Revista de Divulgacion Cientifica | Abbreviated Journal | |
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spreading | Approved | no | ||
| Call Number | ADAS @ adas @ SaG2007c | Serial | 1470 | ||
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| Author | Alex Goldhoorn; Arnau Ramisa; Ramon Lopez de Mantaras; Ricardo Toledo | ||||
| Title | Using the Average Landmark Vector Method for Robot Homing | Type | Conference Article | ||
| Year | 2007 | Publication | Artificial Intelligence Research and Development, Proceedings of the 10th International Conference of the ACIA | Abbreviated Journal | |
| Volume | 163 | Issue | Pages | 331–338 | |
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| ISSN | ISBN | 978–1–58603–798–7 | Medium | ||
| Area | Expedition | Conference | CCIA’07 | ||
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RV;ADAS | Approved | no | ||
| Call Number | Admin @ si @ GRL2007 | Serial | 899 | ||
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| Author | Arnau Ramisa; Ramon Lopez de Mantaras; Ricardo Toledo | ||||
| Title | Comparing Combinations of Feature Regions for Panoramic VSLAM | Type | Conference Article | ||
| Year | 2007 | Publication | 4th International Conference on Informatics in Control, Automation and Robotics | Abbreviated Journal | |
| Volume | Issue | Pages | 292–297 | ||
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| Address | Angers (France) | ||||
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| Area | Expedition | Conference | ICINCO | ||
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RV;ADAS | Approved | no | ||
| Call Number | Admin @ si @ RLA2007 | Serial | 900 | ||
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| Author | Arnau Ramisa; Adriana Tapus; Ramon Lopez de Mantaras; Ricardo Toledo | ||||
| Title | Mobile Robot Localization using Panoramic Vision and Combination of Feature Region Detectors | Type | Conference Article | ||
| Year | 2008 | Publication | IEEE International Conference on Robotics and Automation, | Abbreviated Journal | |
| Volume | Issue | Pages | 538–543 | ||
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| Address | Pasadena; CA; USA | ||||
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| Area | Expedition | Conference | ICRA | ||
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RV;ADAS | Approved | no | ||
| Call Number | Admin @ si @ RTL2008 | Serial | 1144 | ||
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| Author | Arnau Ramisa; Alex Goldhoorn; David Aldavert; Ricardo Toledo; Ramon Lopez de Mantaras | ||||
| Title | Combining Invariant Features and the ALV Homing Method for Autonomous Robot Navigation Based on Panoramas | Type | Journal Article | ||
| Year | 2011 | Publication | Journal of Intelligent and Robotic Systems | Abbreviated Journal | JIRC |
| Volume | 64 | Issue | 3-4 | Pages | 625-649 |
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| Abstract | Biologically inspired homing methods, such as the Average Landmark Vector, are an interesting solution for local navigation due to its simplicity. However, usually they require a modification of the environment by placing artificial landmarks in order to work reliably. In this paper we combine the Average Landmark Vector with invariant feature points automatically detected in panoramic images to overcome this limitation. The proposed approach has been evaluated first in simulation and, as promising results are found, also in two data sets of panoramas from real world environments. | ||||
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| Publisher | Springer Netherlands | Place of Publication | Editor | ||
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| ISSN | 0921-0296 | ISBN | Medium | ||
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RV;ADAS | Approved | no | ||
| Call Number | Admin @ si @ RGA2011 | Serial | 1728 | ||
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| Author | Arnau Ramisa; David Aldavert; Shrihari Vasudevan; Ricardo Toledo; Ramon Lopez de Mantaras | ||||
| Title | The IIIA30 MObile Robot Object Recognition Datset | Type | Conference Article | ||
| Year | 2011 | Publication | 11th Portuguese Robotics Open | Abbreviated Journal | |
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| Abstract | Object perception is a key feature in order to make mobile robots able to perform high-level tasks. However, research aimed at addressing the constraints and limitations encountered in a mobile robotics scenario, like low image resolution, motion blur or tight computational constraints, is still very scarce. In order to facilitate future research in this direction, in this work we present an object detection and recognition dataset acquired using a mobile robotic platform. As a baseline for the dataset, we evaluated the cascade of weak classifiers object detection method from Viola and Jones. | ||||
| Address | Lisboa | ||||
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| Area | Expedition | Conference | Robotica | ||
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RV;ADAS | Approved | no | ||
| Call Number | Admin @ si @ RAV2011 | Serial | 1777 | ||
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| Author | L. Calvet; A. Ferrer; M. Gomes; A. Juan; David Masip | ||||
| Title | Combining Statistical Learning with Metaheuristics for the Multi-Depot Vehicle Routing Problem with Market Segmentation | Type | Journal Article | ||
| Year | 2016 | Publication | Computers & Industrial Engineering | Abbreviated Journal | CIE |
| Volume | 94 | Issue | Pages | 93-104 | |
| Keywords | Multi-Depot Vehicle Routing Problem; market segmentation applications; hybrid algorithms; statistical learning | ||||
| Abstract | In real-life logistics and distribution activities it is usual to face situations in which the distribution of goods has to be made from multiple warehouses or depots to the nal customers. This problem is known as the Multi-Depot Vehicle Routing Problem (MDVRP), and it typically includes two sequential and correlated stages: (a) the assignment map of customers to depots, and (b) the corresponding design of the distribution routes. Most of the existing work in the literature has focused on minimizing distance-based distribution costs while satisfying a number of capacity constraints. However, no attention has been given so far to potential variations in demands due to the tness of the customerdepot mapping in the case of heterogeneous depots. In this paper, we consider this realistic version of the problem in which the depots are heterogeneous in terms of their commercial o er and customers show di erent willingness to consume depending on how well the assigned depot ts their preferences. Thus, we assume that di erent customer-depot assignment maps will lead to di erent customer-expenditure levels. As a consequence, market-segmentation strategiesneed to be considered in order to increase sales and total income while accounting for the distribution costs. To solve this extension of the MDVRP, we propose a hybrid approach that combines statistical learning techniques with a metaheuristic framework. First, a set of predictive models is generated from historical data. These statistical models allow estimating the demand of any customer depending on the assigned depot. Then, the estimated expenditure of each customer is included as part of an enriched objective function as a way to better guide the stochastic local search inside the metaheuristic framework. A set of computational experiments contribute to illustrate our approach and how the extended MDVRP considered here di ers in terms of the proposed solutions from the traditional one. | ||||
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| Publisher | PERGAMON-ELSEVIER SCIENCE LTD | Place of Publication | Editor | ||
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| Series Editor | Series Title | Abbreviated Series Title | CIE | ||
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| ISSN | 0360-8352 | ISBN | Medium | ||
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OR;MV; | Approved | no | ||
| Call Number | Admin @ si @ CFG2016 | Serial | 2749 | ||
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