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  1. Introduction

    The state of a physical system is the mathematical description of our knowledge of it, and provides information on its future and past. A state...
    Matteo G.A. Paris, Jaroslav Řeháček in Quantum State Estimation
    Chapter

  2. 2 Quantum Tomographic Methods

    The state of a physical system is the mathematical object that provides a complete information on the system. The knowledge of the state is...
    Giacomo Mauro D’Ariano, Matteo G.A. Paris, Massimiliano F. Sacchi in Quantum State Estimation
    Chapter

  3. 9 Quantum Operations on Qubitsand Their Characterization

    Information encoded in quantum system has to obey rules of quantum physics which impose strict bounds on state estimation and on possible...
    Francesco De Martini, Marco Ricci, Fabio Sciarrino in Quantum State Estimation
    Chapter

  4. 8 Characterization of Quantum Devices

    Using quantum tomography and a single entangled state it is possible to characterize completely a quantum device, a channel, or a measuring...
    Giacomo Mauro D’Ariano, Paoloplacido Lo Presti in Quantum State Estimation
    Chapter

  5. Literature Survey

    ...
    Johan Baeten, Joris De Schutter in Integrated Visual Servoing and Force Control
    Chapter

  6. Appendix D: Image Processing Implementation on DSP

    This appendix describes the basic elements of the implemented image processing software on the DSP-C40 (digital signal processor).
    Johan Baeten, Joris De Schutter in Integrated Visual Servoing and Force Control
    Chapter

  8. Additional Experriments

    ...
    Johan Baeten, Joris De Schutter in Integrated Visual Servoing and Force Control
    Chapter

  9. Framework

    ...
    Johan Baeten, Joris De Schutter in Integrated Visual Servoing and Force Control
    Chapter

  10. Introduction

    ...
    Johan Baeten, Joris De Schutter in Integrated Visual Servoing and Force Control
    Chapter

  11. Optimization of Image Compression Method Based on Fuzzy Relational Equations by Overlap Level of Fuzzy Sets

    A design method of coders on YUV color space is proposed based on an overlap level of fuzzy sets, in order to optimize the image...
    Hajime Nobuhara, Eduardo Masato Iyoda, ... Witold Pedrycz in Computational Intelligence for Modelling and Prediction
    Chapter

  12. Multi-layer Image Transmission with Inverse Pyramidal Decomposition

    This paper presents a new image compression method based on the Inverse Difference Pyramid (IDP) decomposition, and one specific application of this...
    Roumen Kountchev, Mariofanna Milanova, ... Roumiana Kountcheva in Computational Intelligence for Modelling and Prediction
    Chapter

  13. A Fuzzy Rule-Based Trading Agent: Analysis and Knowledge Extraction

    In this paper, we show how a fuzzy rule-based system is developed for trading in a futures market. By our fuzzy rule-based system, an agent...
    Tomoharu Nakashima, Takanobu Ariyama, ... Hisao Ishibuchi in Computational Intelligence for Modelling and Prediction
    Chapter

  14. Non-Iterative ICA for Detecting Motion in Image Sequences

    The ICA (Independent Component Analysis) technique can be used to detect difference in a sequence of images. However, most implementations of this...
    Yu Wei, Charayaphan Charoensak in Computational Intelligence for Modelling and Prediction
    Chapter

  15. Fuzzy Congestion Control In Packet Networks

    In this paper an adaptive fuzzy congestion control solution for active queue management in packet switched networks which use TCP to solve end-to-end...
    Tapio Frantti in Computational Intelligence for Modelling and Prediction
    Chapter

  16. Mining Technical Patterns in The U. S. Stock Market through Soft Computing

    Technical analysis has been a part of financial practice for many decades. One of the most challenging areas in technical analysis is the automatic...
    Ming Dong, Xu-Shen Zhou in Computational Intelligence for Modelling and Prediction
    Chapter

  17. Multiple Feature Relevance Feedback in Content- Based Image Retrieval using Probabilistic Inference Networks

    The BIR content based image retrieval system uses a Bayesian belief network architecture to match query by example images to images in a database....
    Campbell Wilson, Bala Srinivasan in Computational Intelligence for Modelling and Prediction
    Chapter

  18. Measuring User Satisfaction in Web Searching

    Search engines are among the most popular as well as useful services on the web. But the problem we face is due to the large number of search engines...
    M. M. Sufyan Beg, Nesar Ahmad in Computational Intelligence for Modelling and Prediction
    Chapter

  19. Distances Between Intuitionistic Fuzzy Sets and their Applications in Reasoning

    In this article we propose the use of intuitionistic fuzzy sets (Atanassov [2]) as a tool for reasoning under imperfect facts and imprecise...
    Eulalia Szmidt, Janusz Kacprzyk in Computational Intelligence for Modelling and Prediction
    Chapter

  20. On The Generalization of Fuzzy Rough Approximation Based on Asymmetric Relation

    An asymmetric relation, called a weak similarity relation, is introduced as a more realistic relation in representing the relationship between two...
    Rolly Intan, Masao Mukaidono in Computational Intelligence for Modelling and Prediction
    Chapter
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