248 search results - page 16 / 50 » Adapting RBF Neural Networks to Multi-Instance Learning |
IJCNN
2008
IEEE
14 years 2 months ago
2008
IEEE
— Ordinal regression is an important type of learning, which has properties of both classification and regression. Here we describe an effective approach to adapt a traditional ...
ICMCS
2006
IEEE
14 years 1 months ago
2006
IEEE
This paper investigates multimedia quality fairness in wireless LAN environments where channel are error-prone due to mobility and fading. The experimental results show that using...
EVOW
2009
Springer
13 years 11 months ago
2009
Springer
In this paper the node-level decision unit of a self-learning anomaly detection mechanism for office monitoring with wireless sensor nodes is presented. The node-level decision uni...
PG
2003
IEEE
14 years 29 days ago
2003
IEEE
We present a method for the adaptive reconstruction of a surface directly from an unorganized point cloud. The algorithm is based on an incrementally expanding Neural Network and ...
HVEI
2010
13 years 5 months ago
2010
This paper presents a novel system that employs an adaptive neural network for the no-reference assessment of perceived quality of JPEG/JPEG2000 coded images. The adaptive neural ...