631 search results - page 16 / 127 » Selecting Useful Groups of Features in a Connectionist Frame... |
ISPA
2004
Springer
14 years 27 days ago
2004
Springer
Static DHT topologies influence important features of such DHTs such as scalability, communication load balancing, routing efficiency and fault tolerance. Nevertheless, it is co...
JCP
2008
13 years 6 months ago
2008
Iterative search margin based algorithm(Simba) has been proven effective for feature selection. However, it still has the following disadvantages: (1) the previously proposed model...
ICIP
2005
IEEE
14 years 9 months ago
2005
IEEE
In this paper we discuss a general framework for feature selection based on nonparametric statistics. The three stage approach we propose is based on the assumption that the avail...
IJCAI
2003
13 years 9 months ago
2003
This paper presents an action selection framework based on an assemblage of self-organizing neural networks called Cooperative Extended Kohonen Maps. This framework encapsulates t...
ICCV
2007
IEEE
14 years 9 months ago
2007
IEEE
Boosting has been widely applied in computer vision, especially after Viola and Jones's seminal work [23]. The marriage of rectangular features and integral-imageenabled fast...