Keiji YAMADA


Query Expansion and Text Mining for ChronoSeeker -- Search Engine for Future/Past Events --
Hideki KAWAI Adam JATOWT Katsumi TANAKA Kazuo KUNIEDA Keiji YAMADA 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2011/03/01
Vol. E94-D  No. 3  pp. 552-563
Type of Manuscript:  Special Section PAPER (Special Section on Data Engineering)
Category: 
Keyword: 
futurologystrategic foresightfuturisticsscenario planningvertical searchtext mininginformation retrieval
 Summary | Full Text:PDF(1.3MB)

Adaptive Processing Parameter Adjustment by Feedback Recognition Method with Inverse Recall Neural Network Model
Keiji YAMADA 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 1994/07/25
Vol. E77-D  No. 7  pp. 794-800
Type of Manuscript:  Special Section PAPER (Special Issue on Document Analysis and Recognition)
Category: 
Keyword: 
pattern recognitionneurocomputingartificial intelligence
 Summary | Full Text:PDF(579.5KB)

On-Line Japanese Character Recognition Based on Flexible Pattern Matching Method Using Normalization-Cooperative Feature Extraction
Masahiko HAMANAKA Keiji YAMADA Jun TSUKUMO 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 1994/07/25
Vol. E77-D  No. 7  pp. 825-831
Type of Manuscript:  Special Section PAPER (Special Issue on Document Analysis and Recognition)
Category: 
Keyword: 
pattern recognitionon-line character recognitionOCRfeature extractionpattern matchingnormalization
 Summary | Full Text:PDF(688.5KB)

Asynchronous Multiple Access Performances of Frequency-Time-Hopped Multi-Level Frequency-Time
Kohji ITOH Makoto ITAMI Kozo KOMIYA Yasuo SOWA Keiji YAMADA 
Publication:   IEICE TRANSACTIONS on Communications
Publication Date: 1993/08/25
Vol. E76-B  No. 8  pp. 913-920
Type of Manuscript:  Special Section PAPER (Special Issue on Spread Spectrum Techniques and Applications)
Category: 
Keyword: 
spread spectrum multiple access communicationfrequency-time hoppingasynchronous operationfrequency-time shift keying
 Summary | Full Text:PDF(669.7KB)