Earticle

초록

영어

This paper deals with machine learning through interaction with a person. We developed an interactive learning system (LTIP) by concentrating on a specific situation where a user and a robot cooperatively find a lost object in real world. The LTIP consists of a gathering candidate images process, a self-categorizing process based on SOM, and a cooperative and repeatable narrow down process so that the robotic system effectively learns the appearance of the target object that the user is looking for. We conducted several experiments to evaluate and analyze the process of interactive learning. We confirmed that preliminarily determining the effective features set for categorization is difficult. So our proposed LTIP scheme is useful for such a practical processes such as finding a lost object.

목차

Abstract
 1. Introduction
 2. Related Works
 3. LTIP: Learning Through Interaction with Person
  3.1. A Scenario of Finding a Thing
  3.2. Bing Search API
  3.3. Features of Images
  3.4. Clustering of Images by SOM
  3.5. Narrow Down Process for Identifying the Object
 4. Experimental Evaluation
  4.1. Experimental Setup
  4.2. Analysis Method
  4.3. Experimental Results
 5. Conclusion
 Acknowledgment
 References

키워드

저자

• Junji Takahashi [ Department of Integrated Information Technology Aoyama Gakuin University, Sagamihara, Japan ]
• Ryuji Suzuki [ Department of Integrated Information Technology Aoyama Gakuin University, Sagamihara, Japan ]
• Yoshito Tobe [ Department of Integrated Information Technology Aoyama Gakuin University, Sagamihara, Japan ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of u- and e- Service, Science and Technology

• 간기

  격월간

• pISSN

  2005-4246

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605