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AI 2013: Advances in Artificial Intelligence

26th Australian Joint Conference, Dunedin, New Zealand, December 1-6, 2013. Proceedings

  • Conference proceedings
  • © 2013

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Editors:
  1. Stephen Cranefield

    1. Department of Information Science, University of Otago, Dunedin, New Zealand

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    You can also search for this editor in PubMed   Google Scholar

  2. Abhaya Nayak

    1. Macquarie University, Sydney, Australia

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8272)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: AI 2013.

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Table of contents (50 papers)

  1. Front Matter

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  3. AI Applications

    1. Protein Fold Recognition Using an Overlapping Segmentation Approach and a Mixture of Feature Extraction Models

      • Abdollah Dehzangi, Kuldip Paliwal, Alok Sharma, James Lyons, Abdul Sattar
      Pages 32-43

    2. Neighborhood Selection in Constraint-Based Local Search for Protein Structure Prediction

      • Swakkhar Shatabda, M. A. Hakim Newton, Abdul Sattar
      Pages 44-55

    3. On Caching for Local Graph Clustering Algorithms

      • René Speck, Axel-Cyrille Ngonga Ngomo
      Pages 56-67

    4. Provenance-Based Trust Estimation for Service Composition

      • Jing Jiang, Quan Bai
      Pages 68-73

    5. 3D EEG Source Localisation: A Preliminary Investigation Using MML

      • Thi Han Kyaw, David L. Dowe
      Pages 74-79

    6. DEPTH: A Novel Algorithm for Feature Ranking with Application to Genome-Wide Association Studies

      • Enes Makalic, Daniel F. Schmidt, John L. Hopper
      Pages 80-85

  4. Cognitive Modelling

    1. Evidence for Response Consistency Supports Polychronous Neural Groups as an Underlying Mechanism for Representation and Memory

      • Mira Guise, Alistair Knott, Lubica Benuskova
      Pages 86-97

    2. A Neural Network Model of Visual Attention and Group Classification, and Its Performance in a Visual Search Task

      • Hayden Walles, Anthony Robins, Alistair Knott
      Pages 98-103

    3. Affect Detection from Virtual Drama

      • Li Zhang, John Barnden, Alamgir Hossain
      Pages 104-109

  5. Computer Vision

    1. A One-Shot Learning Approach to Image Classification Using Genetic Programming

      • Harith Al-Sahaf, Mengjie Zhang, Mark Johnston
      Pages 110-122

    2. Event Detection Using Quantized Binary Code and Spatial-Temporal Locality Preserving Projections

      • Hanhe Lin, Jeremiah D. Deng, Brendon J. Woodford
      Pages 123-134

    3. Growing Neural Gas Video Background Model (GNG-BM)

      • Munir Shah, Jeremiah D. Deng, Brendon J. Woodford
      Pages 135-147

    4. Sparse Principal Component Analysis via Joint L 2,1-Norm Penalty

      • Shi Xiaoshuang, Lai Zhihui, Guo Zhenhua, Wan Minghua, Zhao Cairong, Kong Heng
      Pages 148-159

    5. Image Segmentation with Adaptive Sparse Grids

      • Benjamin Peherstorfer, Julius Adorf, Dirk Pflüger, Hans-Joachim Bungartz
      Pages 160-165

  6. Constraint Satisfaction, Search and Optimisation

    1. Diversify Intensification Phases in Local Search for SAT with a New Probability Distribution

      • Thach-Thao Duong, Duc-Nghia Pham, Abdul Sattar
      Pages 166-177

    2. A New Efficient In Situ Sampling Model for Heuristic Selection in Optimal Search

      • Santiago Franco, Michael W. Barley, Patricia J. Riddle
      Pages 178-189
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  1. AI 2013: Advances in Artificial Intelligence

Keywords

About this book

This book constitutes the refereed proceedings of the 26th Australasian Joint Conference on Artificial Intelligence, AI 2013, held in Dunedin, New Zealand, in December 2013. The 35 revised full papers and 19 revised short papers presented were carefully reviewed and selected from 120 submissions. The papers are organized in topical sections as agents; AI applications; cognitive modelling; computer vision; constraint satisfaction, search and optimisation; evolutionary computation; game playing; knowledge representation and reasoning; machine learning and data mining; natural language processing and information retrieval; planning and scheduling.

Editors and Affiliations

  • Department of Information Science, University of Otago, Dunedin, New Zealand

    Stephen Cranefield

  • Macquarie University, Sydney, Australia

    Abhaya Nayak

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