| 2009 |
|---|
| 13 | EE | Ye Xu,
Shen Furao,
Osamu Hasegawa,
Jinxi Zhao:
An Online Incremental Learning Vector Quantization.
PAKDD 2009: 1046-1053 |
| 2008 |
|---|
| 12 | EE | Shen Furao,
Osamu Hasegawa:
A fast nearest neighbor classifier based on self-organizing incremental neural network.
Neural Networks 21(10): 1537-1547 (2008) |
| 2007 |
|---|
| 11 | EE | Youki Kamiya,
Toshiaki Ishii,
Shen Furao,
Osamu Hasegawa:
An Online Semi-Supervised Clustering Algorithm Based on a Self-organizing Incremental Neural Network.
IJCNN 2007: 1061-1066 |
| 10 | EE | Shen Furao,
Keisuke Sakurai,
Youki Kamiya,
Osamu Hasegawa:
An Online Semi-supervised Active Learning Algorithm with Self-organiing Incremental Neural Network.
IJCNN 2007: 1139-1144 |
| 9 | EE | Shen Furao,
Osamu Hasegawa:
A Nearest-Neighbour Method with Self-organizing Incremental Neural Network.
IJCNN 2007: 1145-1150 |
| 8 | EE | Youki Kamiya,
Shen Furao,
Osamu Hasegawa:
An Incremental Neural Network for Online Supervised Learning and Topology Learning.
JACIII 11(1): 87-95 (2007) |
| 7 | EE | Shen Furao,
Tomotaka Ogura,
Osamu Hasegawa:
An enhanced self-organizing incremental neural network for online unsupervised learning.
Neural Networks 20(8): 893-903 (2007) |
| 2006 |
|---|
| 6 | EE | Shen Furao,
Osamu Hasegawa:
An incremental network for on-line unsupervised classification and topology learning.
Neural Networks 19(1): 90-106 (2006) |
| 2005 |
|---|
| 5 | EE | Shen Furao,
Osamu Hasegawa:
An On-Line Learning Mechanism for Unsupervised Classification and Topology Representation.
CVPR (1) 2005: 651-656 |
| 4 | EE | Shen Furao,
Osamu Hasegawa:
Fractal Image Coding with Simulated Annealing Search.
JACIII 9(1): 80-88 (2005) |
| 2004 |
|---|
| 3 | | Shen Furao,
Osamu Hasegawa:
An effective fractal image coding method without search.
ICIP 2004: 3197-3200 |
| 2 | EE | Shen Furao,
Osamu Hasegawa:
An Incremental Neural Network for Non-stationary Unsupervised Learning.
ICONIP 2004: 641-646 |
| 1 | EE | Shen Furao,
Osamu Hasegawa:
A Growing Neural Network for Online Unsupervised Learning.
JACIII 8(2): 121-129 (2004) |
