| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
| PRMU, HIP |
2007-02-22
13:00 |
Kanagawa |
|
Semi-Supervised Locality Preserving Projection with Clustering Mapping
Weiwei Du, Kiichi Urahama (Kyushu Univ.) |
[more] |
PRMU2006-211 HIP2006-104
pp.29-34 |
| NC |
2007-01-26
11:40 |
Hokkaido |
Noboribetsu Manseikaku(Noboribetsu) |
Combining Zero-Order Topology SOM and Centroidal Voronoi Tessellation for Morphing Non-Photorealistic Images
Kohei Inoue, Kiichi Urahama (Kyushu Univ.) |
Centroidal Voronoi tessellation (CVT) is a basic tool for non-photorealistic rendering. In this paper, we propose a meth... [more] |
NC2006-106
pp.35-40 |
| PRMU |
2006-12-14
11:30 |
Fukui |
|
Image and Video Matting by Membership Propagation
Weiwei Du, Kiichi Urahama (Kyushu Univ.) |
[more] |
PRMU2006-165
pp.25-30 |
| PRMU |
2006-12-14
15:15 |
Fukui |
|
[Special Talk]
Extension of Graph Spectral Method
-- Semi-Supervised Learning and Tensor Decomposition --
Kiichi Urahama (Kyushu Univ.) |
[more] |
PRMU2006-168
pp.43-48 |
| PRMU, NLC, TL |
2006-10-20
14:30 |
Tokyo |
|
Simultaneous Low Rank Approximations of Tensors
Kohei Inoue, Kiichi Urahama (Kyushu Univ.) |
In this paper, we propose iterative and non-iterative algorithms for simultaneous low rank approximation of tensors (SLR... [more] |
PRMU2006-112
pp.47-52 |
| PRMU |
2006-09-08
09:00 |
Fukuoka |
|
Natural Image Matting with Semi-Supervised Object Extraction
Weiwei Du, Kiichi Urahama (Kyushu Univ.) |
[more] |
PRMU2006-63
pp.23-28 |
| PRMU |
2006-09-09
14:45 |
Fukuoka |
|
Fusion of Multiple Images by Contrast Enhancing Projection
Linlin Jing, Kiichi Urahama (Kyushu Univ.) |
[more] |
PRMU2006-85
pp.71-76 |
| PRMU |
2006-03-16
15:25 |
Fukuoka |
Kyushu Univ. |
Semi-Supervised Object Extraction for Natural Image Matting
Weiwei Du, Kiichi Urahama (Kyushu Univ.) |
[more] |
PRMU2005-254
pp.143-148 |
| PRMU |
2006-03-17
14:00 |
Fukuoka |
Kyushu Univ. |
Non-Iterative Two-Dimensional Linear Discriminant Analysis for Face Recognition
Kohei Inoue, Kiichi Urahama (Kyushu Univ.) |
Linear discriminant analysis (LDA) is a well-known scheme for feature extraction and dimensionality reduction of labeled... [more] |
PRMU2005-286
pp.179-182 |
| PRMU, HIP |
2006-01-20
16:55 |
Osaka |
Osaka Univ. |
Unsupervised and Semi-Supervised Extraction of Fuzzy Clusters in Similarity Data
Weiwei Du, Kohei Inoue, Kiichi Urahama (Kyushu Univ.) |
A method is presented for sequential extraction of arbitrarily-shaped fuzzy clusters from similarity data. Clusters buri... [more] |
PRMU2005-177 HIP2005-147
pp.165-170 |
| PRMU, HIP |
2006-01-20
17:25 |
Osaka |
Osaka Univ. |
Equivalence between Non-Iterative Algorithms for Simultaneous Low Rank Approximations of Matrices
Kohei Inoue, Kiichi Urahama (Kyushu Univ.) |
Recently, four non-iterative algorithms for simultaneous low rank approximations of matrices have been presented by seve... [more] |
PRMU2005-178 HIP2005-148
pp.171-176 |
| PRMU, NLC |
2005-09-21
09:00 |
Tokyo |
|
Fast Semi-Supervised Learning on Nearest Neighbor Graphs
Weiwei Du, Kiichi Urahama (Kyushu Univ.) |
A simple label propagation technique is presented for semi-supervised learning of pattarn classifiers. In our technique,... [more] |
NLC2005-24 PRMU2005-51
pp.1-6 |
| PRMU, NLC |
2005-09-21
09:30 |
Tokyo |
|
Semi-Supervised Pattern Classification Based on Connective Distance
Kohei Inoue, Kiichi Urahama (Kyushu Univ.) |
The connective distance which is an example of ultra metric distances has been utilized for extracting arbitrarily shape... [more] |
NLC2005-25 PRMU2005-52
pp.7-10 |
| PRMU |
2004-12-17
14:50 |
Oita |
|
Approximate Solution of Matrix Principal Component Analysis (MPCA)
Kohei Inoue, Kiichi Urahama (Kyushu Univ.) |
Vector data are mapped to low-dimensional space with one orthonormal matrix in ordinary principal component analysis (PC... [more] |
PRMU2004-145
pp.67-70 |