Sciweavers

1697 search results - page 4 / 340
» Spike Feature Extraction Using Informative Samples
Sort
View
ICANN
2005
Springer
13 years 11 months ago
Information Visualization for Knowledge Extraction in Neural Networks
In this paper, a user-centred innovative method of knowledge extraction in neural networks is described. This is based on information visualization techniques and tools for artific...
Liz J. Stuart, Davide Marocco, Angelo Cangelosi
JCIT
2010
190views more  JCIT 2010»
13 years 1 months ago
Application of Feature Extraction Method in Customer Churn Prediction Based on Random Forest and Transduction
With the development of telecom business, customer churn prediction becomes more and more important. An outstanding issue in customer churn prediction is high dimensional problem....
Yihui Qiu, Hong Li
ICMI
2000
Springer
217views Biometrics» more  ICMI 2000»
13 years 10 months ago
Offline Handwritten Chinese Character Recognition Using Optimal Sampling Features
For offline handwritten Chinese character recognition, stroke variation is the most difficult problem to be solved. A new method of optimal sampling features is proposed to compens...
Rui Zhang, Xiaoqing Ding
KES
2008
Springer
13 years 6 months ago
On the use of spiking neural network for EEG classification
This paper presents a new classification technique of continuous EEG recordings, based on a network of spiking neurons. Human EEG signals published on the BCI Competition website w...
Piyush Goel, Honghai Liu, David J. Brown, Avijit D...
CVPR
2008
IEEE
14 years 8 months ago
On the use of independent tasks for face recognition
We present a method for learning discriminative linear feature extraction using independent tasks. More concretely, given a target classification task, we consider a complementary...
Àgata Lapedriza, David Masip, Jordi Vitri&a...