248 search results - page 16 / 50 » Adapting RBF Neural Networks to Multi-Instance Learning |
134
Voted
IJCNN
2008
IEEE
15 years 8 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 ...
109
click to vote
ICMCS
2006
IEEE
15 years 8 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...
110
click to vote
EVOW
2009
Springer
15 years 5 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...
109
click to vote
PG
2003
IEEE
15 years 7 months 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 ...
173
Voted
HVEI
2010
14 years 12 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 ...