1 0 0 0 OA カーネルマシンへの高速ベクトル量子化の導入
- 著者
- 笠井 航 長谷川 修
- 出版者
- 日本神経回路学会
- 雑誌
- 日本神経回路学会誌 (ISSN:1340766X)
- 巻号頁・発行日
- vol.16, no.3, pp.149-157, 2009-09-05 (Released:2009-10-30)
- 参考文献数
- 22
- 被引用文献数
- 3 2
In this paper, we propose a fast learning algorithm of a support vector machine (SVM). Our work is based on the Learning Vector Quantization (LVQ) and we compress the data to perform properly in the context of clustered data margin maximization. For solving the problem faster, we propose the improved TOD algorithm, which is one of the simplest form of LVQ. Experimental results demonstrate that our method is as accurate as the existing implementation, but it is faster in most situations. We also show the extension of the proposed learning framework for online re-training problem.
1 0 0 0 OA ポストヒューマンは誕生するか?
- 著者
- 鈴木 良次
- 出版者
- 日本神経回路学会
- 雑誌
- 日本神経回路学会誌 (ISSN:1340766X)
- 巻号頁・発行日
- vol.16, no.2, pp.61-63, 2009-06-05 (Released:2009-08-14)
1 0 0 0 OA 競合連想ネットによる距離画像からの平面抽出
- 著者
- 黒木 秀一 西田 健
- 出版者
- 日本神経回路学会
- 雑誌
- 日本神経回路学会誌 (ISSN:1340766X)
- 巻号頁・発行日
- vol.14, no.4, pp.273-281, 2007-12-05 (Released:2008-11-21)
- 参考文献数
- 20
- 被引用文献数
- 1
This paper describes an application of the competitive associative net called CAN2 to plane extraction from range images measured by a laser range scanner (LRS). The CAN2 basically is a neural net for learning efficient piecewise linear approximation of nonlinear functions, and in this application it is utilized for learning piecewise planner (linear) surfaces from the range image. As a result of the learning, the obtained piecewise planner surfaces are more precise than the actual planner surfaces, so that we introduce a method to gather piecewise planner surfaces for reconstructing the actual planner surfaces. We apply this method to the real range image, and examine the effectiveness by means of comparing other methods, such as the USF (University of South Florida) method and a RHT (Randomized Hough Transform) based method.
