MIWAI'07 · MIWAI'08 · MIWAI'09 · MIWAI'10 · MIWAI'11 · MIWAI'12
MIWAI 2013 is supported by:
Publication

MIWAI 2013 Proceedings will be published in LNAI.
News
List of accepted papers
MIWAI'13: Registration Information
Submission deadline has been re-extended to July 31, 2013.
• This year, MIWAI'13 also features special sessions on:
 -> Machine Learning and Text Analytics.
 -> Soft Clustering.
 -> Three-way Decisions and Probabilistic Rough Sets.
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Welcome to MIWAI'13
The 7th Multi-Disciplinary International Workshop on Artificial Intelligence
December 9-11, 2013 at Krabi, Thailand
Program

December 09, 2013 Venue: Krabi Heritage Hotel

08.30 am – 09.00 am Registration
09:00 am – 10:30 am Tutorial 1: Pawan Lingras - "Recursive and iterative clustering in granular
hierarchical, network, and temporal datasets "
10:30 am – 10:45 am Nutrition break
10:45 am – 12:15 pm Tutorial 1: Pawan Lingras - "Recursive and iterative clustering in granular
hierarchical, network, and temporal datasets " (Continue)
12:15 pm – 01:15 pm Lunch
01:15 pm – 02:45 pm Tutorial 2:  Xiangjian He - "Principle of Image Categorization"
03:00 pm – 03:15 pm Nutrition break
03:15 pm – 04:30 pm Tutorial 2:  Xiangjian He - "Principle of Image Categorization" (Continue)

 

December 10, 2013 Venue: Krabi Heritage Hotel

08.30 am – 09.00 am Registration
09.00 am – 09.15 am Inauguration ceremony
09:15 am – 10:15 am Keynote speech: Nick Cercone
Title: Big Data - Big Deal.
Chair: Chattrakul Sombattheera
10:15 am – 10:30 am Nutrition break
10:30 am – 12:10 pm Unsupervised learning, Chair: Arun Agarwal   
(5 papers)   1, 2, 6, 13, 68
12:10 pm – 1:10 pm Lunch
01:10 pm – 2:50 pm Computer Vision, Chair:   Xiangjian He
(5 papers)   7, 9, 24, 25, 50
02:50 pm – 03:05pm Nutrition break
03:05 pm – 04:45 pm Intelligent Planning, Chair:  Aneesh Krishna
(5 papers)   17, 29, 31, 42, 48
07:00 pm – 10:00 pm Conference Reception

Unsupervised learning December 10, 10:30 pm - 12:10 pm, Chair: Arun Agarwal   

  • 1 - Asma Ammar, Zied Elouedi and Pawan Lingras - Incremental Rough Possibilistic K-Modes
  • 2 - Shigehiro Ohhara, Keisuke Yamazaki and Sumio Watanabe - A Geometric Evaluation of Self-Organizing Map and Application to City Data Analysis
  • 6 - Vinay Kumar Verma, Rajeev Wankar, C.R. Rao and Arun Agarwal - Hand Gesture Segmentation From Complex Color-Texture Background Image
  • 13 - Said Jadid Abdulkadir and Suet-Peng Yong - Unscented Kalman Filter for Noisy Multivariate Financial Time-Series Data
  • 68 - Kittipong Dapa, Pornpat Loreungthup, Srisatja Vitayasak and Pupong Pongcharoen - Bat Algorithm, Genetic Algorithm and Shuffled Frog Leaping Algorithm for designing non-identical rectangular machine layout

Computer Vision December 10, 01:10 pm - 02:50 pm, Chair: Xiangjian He

  • 7 - Amit Singh, Mayank Dave and Anand Mohan - A Hybrid Algorithm for Image Watermarking Against Signal Processing Attacks
  • 9 - James F. Peters, Doungrat Chitcharoen and Sheela Ramanna - Reasoning with Near Set-based Digital Image Flow Graphs
  • 24 - Raghava Morusupalli, Arun Agarwal and Raghavendra Rao Ch - Spatial Anisotropic Interpolation Approach for Text Removal from an Image
  • 25 - Farzana Kabir Ahmad and Nooraini Yusoff - Reconstructing Gene Regulatory Network Using Heterogeneous Biological Data
  • 50 - Minho Han - The Hue Modeling for Object Tracking in Multiple Non-Overlapping Cameras

Intelligent Planning December 10, 03:05 pm - 04:45 pm, Chair: Aneesh Krishna

  • 17 - Yu-Cheng Chuang, Pingyu Hsu and Hung-Hao Chen - Unifying multi-level business process discovered by Heuristic miner Algorithm
  • 29 - Junghoon Lee and Gyung-Leen Park - Design of a multi-day tour-and-charging scheduler for electric vehicles
  • 31 - Yu-Cheng Chuang, Pingyu Hsu, Mintzu Wang, Ming-Te Lin and Ming Shien Cheng - User Distributions in N-Tier platform with effective memory reusability
  • 42 - Naoki Yamada and Chiaki Sakama - Evolution of Self-Interested Agents: An Experimental Study
  • 48 - Kasun Senevirathna and Pradeep Atrey - A Secure and Privacy-aware Cloud-Based Architecture for Online Social Networks

 

December 11, 2013 Venue: Krabi Heritage Hotel

09:15 am – 10:15 am Keynote speech:  Xiangjian He
Title:  Multiple Instance Learning for Visual Categorisation
Chair:  Arun Agarwal
10:15 am – 10:30 am Nutrition break
10:30 am – 12:10 pm Supervised learning
Chair:  Akama Kiyoshi
(5 papers)   4, 5, 10, 11, 60
12:10 pm – 1:10 pm Lunch
01:10 pm – 2:50 pm Pattern Analysis
Chair:   Pawan Lingras    
(5 papers)   22, 30, 39, 44, 67
02:50 pm – 03:05pm Nutrition break
03:05 pm – 04:45 pm Foundations
Chair:   Pupong Pongcharoen  
(5 papers)   47, 49, 53, 54, 58
04:45 pm – 05:00pm Valedictory

Supervised learning December 11, 10:30 am - 12:10 pm, Chair: Akama Kiyoshi

  • 4 - Mohd Zaki Ayob and E. D. Chesmore - Probabilistic Neural Network for the Automated Identification of the Harlequin Ladybird (Harmonia Axyridis)
  • 5 - Gerhard Wohlgenannt, Stefan Belk and Matthias Schett - Computing Semantic Association: Comparing Spreading Activation and Spectral Association for Ontology Learning
  • 10 - Satyendr Singh, Vivek Kumar Singh and Tanveer J. Siddiqui - Hindi Word Sense Disambiguation using Semantic Relatedness measure
  • 11 - Xi Ao Ma, Guo Yin Wang, Hong Yu and Feng Hu -Test-Cost-Sensitive Attribute Reduction in Decision-Theoretic Rough Sets
  • 60 - Verayuth Lertnattee, Sinthop Chomya and Virach Sornlertlamvanich - Using a Normalized Score Centroid-based Classifier to Classify Multi-label Herbal Formulae

Pattern analysis December 11, 01:10 pm - 02:50 pm, Chair: Pawan Lingras

  • 22 - Hui Chun Wang, Yeh-Kuang Wu, Liung-Chun Chang and Ke-Chun Li - Using HMMs and Depth Information for Singer-Independent Sign Language Recognition
  • 30 - Kiyoshi Akama and Ekawit Nantajeewarawat - An ET-Based Low-Level Solution for Query-Answering Problems
  • 39 - Thi Bao Tran Phan, Thi Ngoc Chau Vo and Tuan Anh Duong - An Efficient Interval-based Approach to Mining Frequent Patterns in a Time Series Database
  • 44 - Vivek Kumar Singh, Rajesh Piryani, Ashraf Uddin and David Pinto - A Content-based eResource Recommender System to augment eBook-based Learning
  • 67 - Yoshiaki Okubo, Makoto Haraguchi and Etsuji TOMITA - Relational Change Pattern Mining Based on Modularity Difference

Foundations December 11, 03:05 pm - 04:45 pm, Chair: Pupong Pongcharoen

  • 47 - Olivier Spanjaard and Paul Weng - Markov Decision Processes with Functional Rewards
  • 49 - Paul Weng - Axiomatic Foundations of Generalized Qualitative Utility
  • 53 - T. V. Vijay Kumar, Biri Arun and Lokendra Kumar - Distributed Query Plan Generation using HBMO
  • 54 - Tenda Okimoto, Maxime Clement and Katsumi Inoue - AOF-technique based algorithm for Dynamic Multi-Objective Distributed Constraint Optimization
  • 58 - Thibaut Lust and Antoine Rolland - On the computation of Choquet optimal solutions in multicriteria decision contexts

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