 | 2009 |
|---|
| 9 |       | Shigueo Nomura,
Keiji Yamanaka,
Takayuki Shiose,
Hiroshi Kawakami,
Osamu Katai:
Morphological preprocessing method to thresholding degraded word images.
Pattern Recognition Letters 30(8): 729-744 (2009) |
| 2008 |
|---|
| 8 | | Eustáquio São José de Faria,
Keiji Yamanaka,
Josimeire do Amaral Tavares,
Geraldo Henrique Lacerda Pinto,
Lowghan Henrique Sudário de Melo:
AIDDES - Distributed Intelligent Pair-Software Development Environment.
COMPSAC 2008: 494-495 |
| 7 | | Eustáquio São José de Faria,
Keiji Yamanaka,
Josimeire do Amaral Tavares,
Geraldo Henrique Lacerda Pinto,
Lowghan Henrique Sudário de Melo:
Intelligent Software Agents Mediating the Pair Participation in a Distributed Intelligent Pair-Software Development Environment.
COMPSAC 2008: 517-520 |
| 6 |  | Celso Camilo,
Keiji Yamanaka:
A Practical Method for Finding an Efficient Static Learning Rate for ANN.
IC-AI 2008: 58-60 |
| 2007 |
|---|
| 5 | | Wnêiton L. Gomes,
Celso Camilo,
Leonardo Araújo Lima,
Alexandre Cardoso,
Edgard Lamounier Jr.,
Keiji Yamanaka:
Artificial Neural Networks to Recognize ARToolKit Markers.
Artificial Intelligence and Pattern Recognition 2007: 464-469 |
| 2006 |
|---|
| 4 | | Fabio J. Parreira,
Keiji Yamanaka,
João-Batista Destro-Filho,
Angela A. de Sa:
Pathological Electroencephalographic Signals Classification by Using Multi-Resolution Analysis and Neural Network.
SBRN 2006: 172-177 |
| 2005 |
|---|
| 3 | | Luís Fernando Pompeo Ferrara,
Keiji Yamanaka,
João Inácio da Silva Filho:
A System of Recognition of Characters based on Paraconsistent Artificial Neural Networks.
LAPTEC 2005: 127-134 |
| 2 | | Shigueo Nomura,
Keiji Yamanaka,
Osamu Katai,
Hiroshi Kawakami,
Takayuki Shiose:
Improved MLP Learning via Orthogonal Bipolar Target Vectors.
JACIII 9(6): 580-589 (2005) |
| 1 | | Shigueo Nomura,
Keiji Yamanaka,
Osamu Katai,
Hiroshi Kawakami,
Takayuki Shiose:
A novel adaptive morphological approach for degraded character image segmentation.
Pattern Recognition 38(11): 1961-1975 (2005) |
