Li N, Cheng X, Zhang S et al (2014) Realistic human action recognition by Fast HOG3D and self-organization feature map. Mach Vis Appl (MVA) 25(7):1793-1812Nijun Li , Xu Cheng , Suofei Zhang , Zhenyang Wu, Realistic human action recognition by Fast HOG3D and self-organization ...
In the area of adaptation, there exists a long tradition of making use of self-organization principles. The self-organizing feature map, introduced by Kohohen, has been a key step forward in the domain of unsupervised learning of artificial neural networks. View chapter Reference work 2003, Ency...
Self-Organizing Map Neural Network 類神經網路 Self-Organizing Map Neural Network 陳慶瀚 義守大㈻電機系 2002年3㈪20㈰
The units may even be structurally identical; the specialized role is determined by their internal parameters which are made to change in certain processes. It then appears as if specific units having a meaningful organization were produced. DOI: 10.1007/978-3-642-88163-3_5 年份: 1989 ...
Based on the self–organization of Kohonen feature map (SOFM), recently, Pei et al. presented an efficient color palette indexing method to construct a color table for compression. Taking their palette indexing method as a representative, this paper presents two new strategies, the pruning–based...
In the area of adaptation, there exists a long tradition of making use of self-organization principles. The self-organizing feature map, introduced by Kohohen, has been a key step forward in the domain ofunsupervised learningof artificialneural networks. ...
In our SOM, the similarities between input data are mapped into the output neurons’ topographical or spatial organization relation, which gives the SOMs adjustable clustering ability. We used the memristor-based SOM for color clustering, and clustered 256 colors into an 8 × 8 SOM with a ...
This work studies the application of growing hierarchical self-organization map (GH-SOM) for high performance and flexible packet classification in the context of software-defined networking (SDN). Highly flexible packet classification is necessary for SDN since SDN applications enable fine-grained polici...
the recognition model is based on {K}ohonen's {SOM} (self-organizing map), which was proposed as a model of self-organization of a cortex. Ordinary {SOM} consists of a two-dimensional array of neuron-like feature detector units. We want to extract the information of direc...
The unsupervised process leads to the self organization of modeling with no previous knowledge of what is being modeled and therefore it does not model a predetermined environment. Taking the above into account feature selection was performed by analyzing the contributions of different sensor based ...