Travelled to:
1 × Australia
1 × Austria
1 × Canada
1 × Japan
1 × Spain
4 × USA
Collaborated with:
Y.Ohta T.Yoshimura D.B.Lange K.Yoshikawa J.Ohde N.Sumida E.Hussein R.Furukawa M.Nagao M.Ozeki M.Itoh M.Yuguchi K.Wakabayashi T.Fujita M.Tagata T.Okamoto S.Tawada K.Hosokawa I.Kuroda
Talks about:
method (3) base (3) use (3) understand (2) pattern (2) system (2) object (2) design (2) video (2) scale (2)
Person: Yuichi Nakamura
DBLP: Nakamura:Yuichi
Contributed to:
Wrote 10 papers:
- DAC-2006-NakamuraTOTY #design #scalability
- Budgeting-free hierarchical design method for large scale and high-performance LSIs (YN, MT, TO, ST, KY), pp. 955–958.
- DAC-2004-NakamuraHKYY #c #c++ #communication #hardware #performance #using
- A fast hardware/software co-verification method for system-on-a-chip by using a C/C++ simulator and FPGA emulator with shared register communication (YN, KH, IK, KY, TY), pp. 299–304.
- ICPR-v3-2002-OzekiINO #video
- Tracking Hands and Objects for an Intelligent Video Production System (MO, MI, YN, YO), pp. 1011–1014.
- ICPR-v4-2000-NakamuraOO #process
- Structuring Personal Activity Records Based on Attention — Analyzing Videos from Head-Mounted Camera (YN, YO, JO), pp. 4222–4225.
- ICPR-1998-NakamuraSO #estimation #using
- Object arrangement estimation using color edge profile (YN, NS, YO), pp. 754–758.
- ICPR-1996-HusseinNO #analysis #using
- Analysis of detailed patterns of contour shapes using wavelet local extrema (EH, YN, YO), pp. 335–339.
- DAC-1995-NakamuraY #clustering #logic #matrix #optimisation #scalability
- A Partitioning-Based Logic Optimization Method for Large Scale Circuits with Boolean Matrix (YN, TY), pp. 653–657.
- DAC-1995-YuguchiNWF #logic #multi
- Multi-Level Logic Minimization Based on Multi-Signal Implications (MY, YN, KW, TF), pp. 658–662.
- OOPSLA-1995-LangeN #comprehension #design pattern #framework #interactive #visualisation
- Interactive Visualization of Design Patterns Can Help in Framework Understanding (DBL, YN), pp. 342–357.
- ICDAR-1993-NakamuraFN #comprehension #diagrams #natural language
- Diagram understanding utilizing natural language text (YN, RF, MN), pp. 614–618.