Presentation | 2006-11-11 A K-means VLSI Processor and its Application to Autonomous Area Segmentation in Images Shigetaka MORIKAWA, Kiyoto ITO, Tadashi SHIBATA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | K-means algorithm used for data compression and clustering is simple, but its computational cost is very high. A K-means VLSI processor dedicated to K-means algorithm has been proposed for real time processing. Face detection based on autonomous area segmentation by K-means algorithm has been studied as an example of applications. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Image Processing / Clustering / Face Detection / VLSI |
Paper # | NC2006-66 |
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Committee | NC |
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Conference Date | 2006/11/4(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Neurocomputing (NC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A K-means VLSI Processor and its Application to Autonomous Area Segmentation in Images |
Sub Title (in English) | |
Keyword(1) | Image Processing |
Keyword(2) | Clustering |
Keyword(3) | Face Detection |
Keyword(4) | VLSI |
1st Author's Name | Shigetaka MORIKAWA |
1st Author's Affiliation | Department of Frontier Informatics, School of Frontier Science, The University of Tokyo() |
2nd Author's Name | Kiyoto ITO |
2nd Author's Affiliation | Department of Frontier Informatics, School of Frontier Science, The University of Tokyo |
3rd Author's Name | Tadashi SHIBATA |
3rd Author's Affiliation | Department of Frontier Informatics, School of Frontier Science, The University of Tokyo |
Date | 2006-11-11 |
Paper # | NC2006-66 |
Volume (vol) | vol.106 |
Number (no) | 342 |
Page | pp.pp.- |
#Pages | 6 |
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