STUDY ON MULTI-MEDIA DATABASE USING FUZZY ASSOCIATIVE MEMORY
STUDY ON MULTI-MEDIA DATABASE USING FUZZY ASSOCIATIVE MEMORY
批准号:
10480079
负责人:
SUZUKI Yukinori
金额:
$0.45万
依托单位国家:
日本
项目类别:
Grant-in-Aid for Scientific Research (B)
财政年份:
1998
资助国家:
日本
项目状态:
已结题
起止时间:
1998 至 1999
中文摘要
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英文摘要
We studied an associative memory system (AMS) for a multi-media database. The AMS is designed using fuzzy numbers, which consists of a memory matrix and a defuzzification procedures. The memory matrix associates fuzzy response vectors which are transformed into non-fuzzy response vectors by the 3defuzzification procedure. The performance of the AMS was evaluated by computational experiments. The results of the experiments indicated that the memory capacity of the AMS was larger than that of the standard linear associative memories. In addition, the noise tolerance of the AMS was practically the same as that of the linear associative memory using the generalized inverse amtix method. As a result, there is a potential to use the AMS for database.
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J. Maeda, S. Novianto, S. Saga, Y. Suzuki and V. V. Anh: "Rough and Accurate Segmentation of Natural Images Using Fuzzy Region-Growing Algorithm"Proceedings of IEEE International Conference on Image Processing, Kobe. Vol.III. 227-23 (1999)
J. Maeda、S. Novianto、S. Saga、Y. Suzuki 和 V. V. Anh:“使用模糊区域生长算法对自然图像进行粗略和准确的分割”IEEE 国际图像处理会议论文集,神户。
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前田純治,ソンンノヴィアント,ウォーアンクゥアンティエン,鈴木幸司: "フーリエウエーブレット変換を用いた自然画像の局所的フ=クタル次元の高精度な推定"電子情報通信学会論文誌. J82-A NO.5. 750-754 (1999)
Junji Maeda、Son Noviant、Woan Kuan Tien、Koji Suzuki:“使用傅里叶小波变换对自然图像的局部虚形维度进行高精度估计”电子、信息和通信工程师学会汇刊 J82-A NO.5。 754 (1999)
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Y.Suzuki, S.Ovaska, T.Furuhashi,Y.Date: "Soft Camputing in Industrial Applications"Springer. 667 (2000)
Y.Suzuki、S.Ovaska、T.Furuhashi、Y.Date:“工业应用中的软露营”施普林格。
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J.Maeda,S.Novianto,S.Saga,Y.Suzuki and V.V.Anh: "Rough and accurate segmentation of Natural Images Using Fuzzy Region-Growing Algorithm"Proc. Of IEEE Image Processing. 227-231 (1999)
J.Maeda、S.Novianto、S.Saga、Y.Suzuki 和 V.V.Anh:“使用模糊区域生长算法对自然图像进行粗略和准确的分割”Proc。
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S.Novianto,L.Guimar**es,Y.Suzuki,J.Maeda and V.V.Anh: "Multiwindowed Approach to the optimum Estimotion of the Local Fractal Dementia for Natural Image Segmentalia"Proc.IEEE Image Processing. 222-226 (1999)
S.Novianto、L.Guimar**es、Y.Suzuki、J.Maeda 和 V.V.Anh:“自然图像分割局部分形痴呆最佳估计的多窗口方法”Proc.IEEE 图像处理。
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共 31 条
A study on low bit rate communication for images and videos in a time of disaster
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财政年份:2012
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财政年份:2009
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Constructing a general image codebook using vector quantization and application to mobile communication terminals.
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批准号:16500095
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财政年份:2004
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负责人:SUZUKI Yukinori
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依托单位:
海外基金