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  1. 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
  2. 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
  3. 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
  4. 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...
    Chapter
  5. 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...
    Chapter
  6. 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...
    Chapter
  7. 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
  8. 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
  9. 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...
    Chapter
  10. Connectionist Fuzzy Relational Systems

    There have been an enormous number of fuzzy systems developed so far. For excellent surveys the reader is referred to [1][3][5][7][9][10][18][19]....
    Rafał Scherer, Leszek Rutkowski in Computational Intelligence for Modelling and Prediction
    Chapter
  11. 7 Concluding Remarks

    As indicated in the Chapter 1, the objectives of this monograph were to present a unified framework for combining compliant motion control,...
    R.V. Patel, F. Shadpey in Control of Redundant Robot Manipulators
    Chapter
  12. Fuzzy Logic Control in Hybrid Power Systems

    In this chapter the dynamic analysis of a hybrid power system, employing diesel and locally available wind and solar energies, is discussed and...
    Josiah Munda, Sadao Asato, Hayao Miyagi in Computational Intelligence for Modelling and Prediction
    Chapter
  13. Iterative Single Data Algorithm for Training Kernel Machines from Huge Data Sets: Theory and Performance

    The chapter introduces the latest developments and results of Iterative Single Data Algorithm (ISDA) for solving large-scale support vector machines...
    V. Kecman, T.-M. Huang, M. Vogt in Support Vector Machines: Theory and Applications
    Chapter
  14. Application of Support Vector Machines in Inverse Problems in Ocean Color Remote Sensing

    Neural networks are widely used as transfer functions in inverse problems in remote sensing. However, this method still suffers from some problems...
    Chapter
  15. Tachycardia Discrimination in Implantable Cardioverter Defibrillators Using Support Vector Machines and Bootstrap Resampling

    Accurate automatic discrimination between supraventricular (SV) and ventricular (V) tachycardia (T) in implantable cardioverter defibrillators (ICD)...
    J.L. Rojo-Álvarez, A. García-Alberola, ... Á Arenal-Maíz in Support Vector Machines: Theory and Applications
    Chapter
  16. Cancer Diagnosis and Protein Secondary Structure Prediction Using Support Vector Machines

    In this chapter, we use support vector machines (SVMs) to deal with two bioinformatics problems, i.e., cancer diagnosis based on gene expression data...
    Chapter
  17. Collision Free Motion Planning on Graphs

    A topological theory initiated in [4,5] uses methods of algebraic topology to estimate numerically the character of instabilities arising in motion...
    Chapter
  18. Computing Protein Structures from Electron Density Maps: The Missing Fragment Problem

    Rapid protein structure determination relies greatly on the availability of software that can automatically generate a protein model from an...
    Itay Lotan, Henry van den Bedem, ... Jean-Claude Latombe in Algorithmic Foundations of Robotics VI
    Chapter
  19. Multi View and Multi Scale Image Based Visual Servo For Micromanipulation

    In this article, we present vision-based techniques for solving some of the problems of micromanipulation. Manipulation and assembly at the micro...
    Rajagoplalan Devanathan, Sun Wenting, ... An-drew Shacklock in Innovations in Robot Mobility and Control
    Chapter
  20. Intelligent Precision Motion Control

    Precision engineering [3] has been steadily gathering momentum over the last century in terms of research, development, and application to product...
    Kok Kiong Tan, Sunan Huang, ... Wei Lin in Innovations in Robot Mobility and Control
    Chapter
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