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  1. No Access

    Chapter and Conference Paper

    Generalized Low-Computational Cost Laplacian Eigenmaps

    Dimensionality reduction (DR) is a methodology used in many fields linked to data processing, and may represent a preprocessing stage or be an essential element for the representation and classification of dat...

    J. A. Salazar-Castro, D. F. Peña, C. Basante in Intelligent Data Engineering and Automated… (2018)

  2. No Access

    Chapter and Conference Paper

    Managing Service Parts for Discontinued Products: An Action Research Approach

    The management of service parts inventories in the post- product life cycle is an issue that has often been ignored by companies, resulting in additional problems that may negatively affect their reputation. ...

    Luís Miguel D. F. Ferreira, Amílcar Arantes in Operations Research and Enterprise Systems (2018)

  3. No Access

    Article

    Recognizing individuals in groups in outdoor environments combining stereo vision, RFID and BLE

    Vision-based people localization systems in outdoor environments can be enhanced by means of radio frequency identification technologies. This combination has the potential to enable a wide range of new applic...

    D. F. Llorca, R. Quintero, I. Parra, M. A. Sotelo in Cluster Computing (2017)

  4. No Access

    Chapter and Conference Paper

    Data Visualization Using Interactive Dimensionality Reduction and Improved Color-Based Interaction Model

    This work presents an improved interactive data visualization interface based on a mixture of the outcomes of dimensionality reduction (DR) methods. Broadly, it works as follows: The user can input the mixture...

    P. D. Rosero-Montalvo, D. F. Peña-Unigarro in Biomedical Applications Based on Natural a… (2017)

  5. No Access

    Chapter and Conference Paper

    Interactive Data Visualization Using Dimensionality Reduction and Dissimilarity-Based Representations

    This work describes a new model for interactive data visualization followed from a dimensionality-reduction (DR)-based approach. Particularly, the mixture of the resulting spaces of DR methods is considered, w...

    D. F. Peña-Unigarro, P. Rosero-Montalvo in Intelligent Data Engineering and Automated… (2017)

  6. Chapter and Conference Paper

    Interactive Data Visualization Using Dimensionality Reduction and Similarity-Based Representations

    This work presents a new interactive data visualization approach based on mixture of the outcomes of dimensionality reduction (DR) methods. Such a mixture is a weighted sum, whose weighting factors are defined...

    P. Rosero-Montalvo, P. Diaz in Progress in Pattern Recognition, Image Ana… (2017)

  7. No Access

    Chapter and Conference Paper

    The Global Digital Mathematics Library and the International Mathematical Knowledge Trust

    We recall some of the reasons why we want and do not yet have a Global Digital Mathematics Library (GDML), both before and after the setting up of a GDML WG at the Seoul 2014 ICM. The recent founding of an Int...

    Patrick D. F. Ion, Stephen M. Watt in Intelligent Computer Mathematics (2017)

  8. No Access

    Reference Work Entry In depth

    Circuit Partitioning: A Network-Flow-Based Balanced Min-Cut Approach

    Martin D. F. Wong, Honghua Hannah Yang in Encyclopedia of Algorithms (2016)

  9. No Access

    Reference Work Entry In depth

    Layout Decomposition for Multiple Patterning

    Haitong Tian, Martin D. F. Wong in Encyclopedia of Algorithms (2016)

  10. No Access

    Article

    Design of function-oriented microcontrollers on equipment of programmable logic integrated circuits for embedded systems

    New approaches to develo** hardware of embedded microprocessor control systems that reduce their design labor-intensiveness, the classification of function oriented microcontrollers was implemented, a tool c...

    A. E. Vasil’ev, T. Yu. Ivanova, T. D. F. Cabezas in Automatic Control and Computer Sciences (2015)

  11. No Access

    Chapter and Conference Paper

    User Directed Multi-view-stereo

    Depth reconstruction from video footage and image collections is a fundamental part of many modelling and image-based rendering applications. However real-world scenes often contain limited texture information...

    Yotam Doron, Neill D. F. Campbell, Jonathan Starck in Computer Vision - ACCV 2014 Workshops (2015)

  12. No Access

    Chapter and Conference Paper

    Kernel-Based Feature Relevance Analysis for ECG Beat Classification

    The analysis of Electrocardiogram (ECG) records for arrhythmia classification favors the develo** of aid diagnosis systems. However, current devices provide large amounts of data being necessary the developm...

    D. F. Collazos-Huertas, A. M. Álvarez-Meza in Pattern Recognition and Image Analysis (2015)

  13. No Access

    Chapter and Conference Paper

    Theoretical Studies and Algorithms Regarding the Solution of Non-invertible Nonlinear Source Separation

    In this paper, we analyse and solve a source separation problem based on a mixing model that is nonlinear and non-invertible at the space of mixtures. The model is relevant considering it may represent the dat...

    D. F. F. Baptista, R. A. Ando, L. T. Duarte in Latent Variable Analysis and Signal Separa… (2015)

  14. No Access

    Living Reference Work Entry In depth

    Layout Decomposition for Multiple Patterning

    Haitong Tian, Martin D. F. Wong in Encyclopedia of Algorithms

  15. No Access

    Chapter and Conference Paper

    Intelligent Monitoring System for Bird Behavior Study

    Until now, the best way to obtain relevant information about the behaviour of animals is capturing them. However, the procedure to capture individuals cause them stress and introduces an effect on the measurem...

    D. F. Larios, C. Rodríguez, J. Barbancho, M. Baena in E-Business and Telecommunications (2014)

  16. No Access

    Living Reference Work Entry In depth

    Circuit Partitioning: A Network-Flow-Based Balanced Min-Cut Approach

    Martin D. F. Wong, Honghua Hannah Yang in Encyclopedia of Algorithms

  17. Chapter and Conference Paper

    Training Object Class Detectors from Eye Tracking Data

    Training an object class detector typically requires a large set of images annotated with bounding-boxes, which is expensive and time consuming to create. We propose novel approach to annotate object locations...

    Dim P. Papadopoulos, Alasdair D. F. Clarke, Frank Keller in Computer Vision – ECCV 2014 (2014)

  18. No Access

    Chapter and Conference Paper

    Mathematics and the World Wide Web

    Mathematics is an ancient and honorable study. It has been called The Queen and The Language of Science. The World Wide Web is something brand-new that started only about a quarter of a century ago. But the Wo...

    Patrick D. F. Ion in Intelligent Computer Mathematics (2013)

  19. No Access

    Chapter and Conference Paper

    Monocular Vision-Based Target Detection on Dynamic Transport Infrastructures

    This paper describes a target detection system on transport infrastructures, based on monocular vision. The goal is to detect and track vehicles and pedestrians, dealing with objects variability, different ill...

    S. Álvarez, M. A. Sotelo, D. F. Llorca in Computer Aided Systems Theory – EUROCAST 2… (2012)

  20. No Access

    Chapter and Conference Paper

    Surface Classification for Road Distress Detection System Enhancement

    This paper presents a vision-based road surface classification in the context of infrastructure inspection and maintenance, proposed as stage for improving the performance of a distress detection system. High ...

    M. Gavilán, D. Balcones, M. A. Sotelo in Computer Aided Systems Theory – EUROCAST 2… (2012)

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