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Showing 41-60 of 10,000 results

  1. Synchronization in Complex Networks

    The study of complex systems pervades all of science, from cell biology to ecology, from computer science to meteorology. A paradigm of a complex...
    Ljupco Kocarev, Gábor Vattay in Complex Dynamics in Communication Networks
    Chapter

  2. Data Traffic, Topology and Congestion

    We consider the interaction between the topology of a network and the tra.c carried along its channels. The binding elements between the topology and...
    David K. Arrowsmith, R.J. Mondrag, M. Woolf in Complex Dynamics in Communication Networks
    Chapter

  3. Kernel Discriminant Learning with Application to Face Recognition

    When applied to high-dimensional pattern classification tasks such as face recognition, traditional kernel discriminant analysis methods often suffer...
    J. Lu, K.N. Plataniotis, A.N. Venetsanopoulos in Support Vector Machines: Theory and Applications
    Chapter

  4. Multiple Model Estimation for Nonlinear Classification

    This chapter describes a new method for nonlinear classification using a collection of several simple (linear) classifiers. The approach is based on...
    Y. Ma, V. Cherkassky in Support Vector Machines: Theory and Applications
    Chapter

  5. Active Support Vector Learning with Statistical Queries

    The article describes an active learning strategy to solve the large quadratic programming (QP) problem of support vector machine (SVM) design in...
    P. Mitra, C.A. Murthy, S.K. Pal in Support Vector Machines: Theory and Applications
    Chapter

  6. Pareto Optimal Coordination on Roadmaps

    Given a collection of robots sharing a common environment, assume that each possesses an individual roadmap for its C-space and a cost function for...
    Robert Ghrist, Jason M. O’Kane, Steven M. LaValle in Algorithmic Foundations of Robotics VI
    Chapter

  7. Coordinating Multiple Droplets in Planar Array Digital Microfluidics System

    This paper presents an approach to coordinate the motions of droplets in digital microfluidic systems used for biochemical analysis. A digital...
    Eric Griffith, Srinivas Akella in Algorithmic Foundations of Robotics VI
    Chapter

  8. Semi-Differential Invariants for Recognition of Albebraic Curves

    This paper studies the recognition of low-degree polynomial curves based on minimal tactile data. Differential and semi-differential invariants have...
    Yan-Bin Jia, Rinat Ibrayev in Algorithmic Foundations of Robotics VI
    Chapter

  9. Computing Deform Closure Grasps

    In prior work, we extended the well-known form closure grasp framework for rigid parts to a class of deformable parts, modeled as frictionless...
    K. “Gopal” Gopalakrishnan, Ken Goldberg in Algorithmic Foundations of Robotics VI
    Chapter

  10. Intelligent Neurofuzzy Control of a Robotic Gripper

    One of the major challenges of robotics is the gras** and manipulating of objects in an unstructured environment, in particular where the physical...
    J.A. Domínguez-López, R.I Damper, ... C.J. Harris in Innovations in Robot Mobility and Control
    Chapter

  11. Soft Computing Paradigms for Web Access Pattern Analysis

    Web servers play a crucial role to convey knowledge and information to the end users. With the popularity of the WWW, discovering the hidden...
    **aozhe Wang, Ajith Abraham, Kate A. Smith in Classification and Clustering for Knowledge Discovery
    Chapter

  12. Ontology-based Fuzzy Decision Agent and Its Application to Meeting Scheduling Support System

    A Fuzzy Decision Agent (FDA) based on personal ontology for Meeting Scheduling Support System (MSSS) is proposed in this chapter. In this system,...
    Chang-Shing Lee, Hei-Chia Wang, Meng-Ju Chang in Classification and Clustering for Knowledge Discovery
    Chapter

  13. D-GridMST: Clustering Large Distributed Spatial Databases

    In this paper, we will propose a novel distributable clustering algorithm, called Distributed-GridMST (D–GridMST for short), which deals with large...
    Ji Zhang, Han Liu in Classification and Clustering for Knowledge Discovery
    Chapter

  14. Data Mining of Missing Persons Data

    This paper presents the results of analysis to evaluate the effectiveness of data mining techniques to predict the outcome for missing persons cases....
    K. Blackmore, T. Bossomaier, ... D. Thomson in Classification and Clustering for Knowledge Discovery
    Chapter

  15. Current Status of Computerized Decision Support Systems in Mammography

    Breast cancer is one of the most devastating and deadly diseases for women today. Despite advances in cancer treatment, early mammographic detection...
    G.D. Tourassi in Intelligent Paradigms for Healthcare Enterprises
    Chapter

  16. 6 Beamforming Combined with Multi-channel Acoustic Echo Cancellation

    For audio signal acquisition, beamforming microphone arrays can be efficiently used for enhancing a desired signal while suppressing...
    Wolfgang Herbordt in Sound Capture for Human/Machine Interfaces
    Chapter

  17. 4 Optimum Beamforming for Wideband Non-stationary Signals

    Array processing techniques strive for extraction of maximum information from a propagating wave field using groups of sensors, which are located at...
    Wolfgang Herbordt in Sound Capture for Human/Machine Interfaces
    Chapter

  18. A Fuzzy Approach on Guiding Model for Interception Flight

    This chapter presents an original moving control model based on the fuzzy logic, applied to some navigation special issues. The steps taken on...
    S. Ionita in Fuzzy Systems Engineering
    Chapter

  19. Applications of Fuzzy Logic in Mobile Robots Control

    Fuzzy logic is a mathematical tool that can manipulate human reasoning, concepts and linguistic terms. It suits ill-defined systems since it can...
    M. Botros in Fuzzy Systems Engineering
    Chapter

  20. Introduction

    Genetic algorithms (GAs) are powerful search techniques based on principles of evolution. They are now widely applied to solve problems in many...
    Ying-** Chen in Extending the Scalability of Linkage Learning Genetic Algorithms
    Chapter
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