Browsing by Author Bui, The Duy

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  • 00051000002_Noi_dung.pdf.jpg
  • Thesis


  • Authors: Ha, Thi Kim Dung;  Advisor: Bui, The Duy (2010)

  • The thesis "A 3-Dimension Room Design System with Interactive Genetic Algorithm" will introduce an application of Interactive Genetic Algorithms (IGAs) to the problem of 3D room design. The major goal of the proposal is to help a user obtain a desirable 3D room design in an easy and fast way. Therefore, time cost of designing is reduced. The user only has to rate each presented design then the system will calculate and generate new designs based on the user's selections. More over, generating designs based on the choices of the user is one of potential ways to meet customer's taste, which always changes.

  • [doi 10.1109%2Ftaai.2012.60] Hoa, Nong Thi; Bui, The Duy -- [IEEE 2012 Conference on Technologies and Applications of Artificial Intelligence (TAAI) - Tainan, Taiwan (2012.11.16-2012.11.1.pdf.jpg
  • Conference paper


  • Authors: Nong, Thi Hoa; Bui, The Duy (2012)

  • Unsupervised neural networks are known for their ability to cluster inputs into categories based on the similarity among inputs. Fuzzy Adaptive Resonance Theory (Fuzzy ART) is a kind of unsupervised neural networks that learns training data until satisfying a given need. In the learning process, weights of categories are changed to adapt to noisy inputs. In other words, learning process decides the quality of clustering. Thus, updating weights of categories is an important step of learning process. We propose a new effective learning rule for Fuzzy ART to improve clustering. Our learning rule modifies weights of categories based on the ratio of the input to the weight of chosen catego...

  • 167.pdf.jpg
  • Article


  • Authors: Bui, The Duy; Ma, Thi Chau (2007)

  • Recently, a number of new technologies to capture 3D data have been developed. The application potential of 3D models is enormous, such as, in education, entertaiment, medicine, etc. In this paper, we present our work toward creating 3D model of free form objects from pair of images. We use the basic process of building 3D models proposed in Multiple View Geometry in Computer Vision by Richard Harlley and Andrew Zisserman which includes three main phases: Preprocessing, Matching, Depth Recovery

Browsing by Author Bui, The Duy

Jump to: 0-9 A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
or enter first few letters:  
Showing results 1 to 7 of 7
  • 00051000002_Noi_dung.pdf.jpg
  • Thesis


  • Authors: Ha, Thi Kim Dung;  Advisor: Bui, The Duy (2010)

  • The thesis "A 3-Dimension Room Design System with Interactive Genetic Algorithm" will introduce an application of Interactive Genetic Algorithms (IGAs) to the problem of 3D room design. The major goal of the proposal is to help a user obtain a desirable 3D room design in an easy and fast way. Therefore, time cost of designing is reduced. The user only has to rate each presented design then the system will calculate and generate new designs based on the user's selections. More over, generating designs based on the choices of the user is one of potential ways to meet customer's taste, which always changes.

  • [doi 10.1109%2Ftaai.2012.60] Hoa, Nong Thi; Bui, The Duy -- [IEEE 2012 Conference on Technologies and Applications of Artificial Intelligence (TAAI) - Tainan, Taiwan (2012.11.16-2012.11.1.pdf.jpg
  • Conference paper


  • Authors: Nong, Thi Hoa; Bui, The Duy (2012)

  • Unsupervised neural networks are known for their ability to cluster inputs into categories based on the similarity among inputs. Fuzzy Adaptive Resonance Theory (Fuzzy ART) is a kind of unsupervised neural networks that learns training data until satisfying a given need. In the learning process, weights of categories are changed to adapt to noisy inputs. In other words, learning process decides the quality of clustering. Thus, updating weights of categories is an important step of learning process. We propose a new effective learning rule for Fuzzy ART to improve clustering. Our learning rule modifies weights of categories based on the ratio of the input to the weight of chosen catego...

  • 167.pdf.jpg
  • Article


  • Authors: Bui, The Duy; Ma, Thi Chau (2007)

  • Recently, a number of new technologies to capture 3D data have been developed. The application potential of 3D models is enormous, such as, in education, entertaiment, medicine, etc. In this paper, we present our work toward creating 3D model of free form objects from pair of images. We use the basic process of building 3D models proposed in Multiple View Geometry in Computer Vision by Richard Harlley and Andrew Zisserman which includes three main phases: Preprocessing, Matching, Depth Recovery