2008 |
23 | EE | Koichiro Yamauchi,
Hideo Saito,
Yukio Sato:
Calibration of a structured light system by observing planar object from unknown viewpoints.
ICPR 2008: 1-4 |
2007 |
22 | EE | Kyosuke Nishida,
Koichiro Yamauchi:
Detecting Concept Drift Using Statistical Testing.
Discovery Science 2007: 264-269 |
21 | EE | Yuki Togashi,
Takashi Omori,
Koichiro Yamauchi:
Model of driver eye motion based on driving plan and prediction of changes in the environment.
FOCI 2007: 289-295 |
20 | EE | Koichiro Yamauchi,
Masayoshi Sato:
Incremental Learning of Spatio-temporal Patterns with Model Selection.
ICANN (1) 2007: 149-158 |
19 | EE | Jiro Hayami,
Koichiro Yamauchi:
PLS Mixture Model for Online Dimension Reduction.
ICONIP (1) 2007: 279-288 |
18 | EE | Koichiro Yamauchi,
Hideto Kameshima,
Hideo Saito,
Yukio Sato:
3D Reconstruction of a Human Body from Multiple Viewpoints.
PSIVT 2007: 439-448 |
17 | EE | Youhei Tadeuchi,
Ryuji Oshima,
Kyosuke Nishida,
Koichiro Yamauchi,
Takashi Omori:
Quick online feature selection method for regression -A feature selection method inspired by human behavior-.
SMC 2007: 1895-1900 |
16 | EE | Koichiro Yamauchi,
Jiro Hayami:
Incremental Leaning and Model Selection for Radial Basis Function Network through Sleep.
IEICE Transactions 90-D(4): 722-735 (2007) |
2006 |
15 | EE | Koichiro Yamauchi,
Yukio Sato:
3D Human Body Measurement by Multiple Range Images.
ICPR (4) 2006: 833-836 |
14 | EE | Kyosuke Nishida,
Koichiro Yamauchi,
Takashi Omori:
An online learning algorithm with dimension selection using minimal hyper basis function networks.
Systems and Computers in Japan 37(11): 11-21 (2006) |
2005 |
13 | EE | Kyosuke Nishida,
Koichiro Yamauchi,
Takashi Omori:
ACE: Adaptive Classifiers-Ensemble System for Concept-Drifting Environments.
Multiple Classifier Systems 2005: 176-185 |
2004 |
12 | EE | Koichiro Yamauchi:
Incremental Learning and Dimension Selection Through Sleep.
ICONIP 2004: 489-495 |
11 | EE | Kyosuke Nishida,
Koichiro Yamauchi,
Takashi Omori:
An On-Line Learning Algorithm with Dimension Selection Using Minimal Hyper Basis Function Networks.
ICONIP 2004: 502-507 |
2003 |
10 | EE | Takayuki Oohira,
Koichiro Yamauchi,
Takashi Omori:
Meta-learning for Fast Incremental Learning.
ICANN 2003: 157-164 |
9 | EE | Hiromi Takeuchi,
Yoshifumi Terabayashi,
Koichiro Yamauchi,
Naohiro Ishii:
Improvement of Robot Sensor by Integrating Information Using Neural Network.
International Journal on Artificial Intelligence Tools 12(2): 139-152 (2003) |
2001 |
8 | EE | Mikiya Oota,
Naohiro Ishii,
Koichiro Yamauchi,
Mayumi Nakamura:
Optimization with Linear Constraints in the Neural Network.
IWANN (1) 2001: 561-569 |
2000 |
7 | EE | Kazunori Iwata,
Nobuhiro Ito,
Koichiro Yamauchi,
Naohiro Ishii:
Combining Exploitation-Based and Exploration-Based Approach in Reinforcement Learning.
IDEAL 2000: 326-331 |
1999 |
6 | EE | Koichiro Yamauchi,
Nobuhiko Yamaguchi,
Naohiro Ishii:
Incremental learning methods with retrieving of interfered patterns.
IEEE Transactions on Neural Networks 10(6): 1351-1365 (1999) |
5 | EE | Koichiro Yamauchi,
Mikiya Oota,
Naohiro Ishii:
A self-supervised learning system for pattern recognition by sensory integration.
Neural Networks 12(10): 1347-1358 (1999) |
1998 |
4 | | Sachio Itoh,
Shinji Ishiguro,
Koichiro Yamauchi,
Naohiro Ishii:
Face Image Segmentation by Detecting Attentive Regions of Artificial Neural Network.
ICONIP 1998: 364-368 |
3 | | Koichiro Yamauchi,
Naohiro Ishii:
Combination of Fast and Slow Learning Methods for Fast Adaptation and Pruning of Redundant Cells.
ICONIP 1998: 757-760 |
2 | | Koichiro Yamauchi,
Toshie Imai,
Naohiro Ishii:
An Incremental Learning Method of GRBF with Re-Generation of Input Patterns - Application for Case Based Reasoning Systems.
ICONIP 1998: 761-766 |
1996 |
1 | | Koichiro Yamauchi,
Mikiya Oota,
Naohiro Ishii:
A Self-Supervised Learning System for Category Detection by Integrating Information from Several Sensors.
International Conference on Evolutionary Computation 1996: 694-699 |