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ICANN
2003
Springer
14 years 1 months ago
Confidence Estimation Using the Incremental Learning Algorithm, Learn++
Pattern recognition problems span a broad range of applications, where each application has its own tolerance on classification error. The varying levels of risk associated with ma...
Jeffrey Byorick, Robi Polikar
ICDAR
2003
IEEE
14 years 2 months ago
Mirror Image Learning for Autoassociative Neural Networks
This paper studies on the mirror image learning algorithm for the autoassociative neural networks and evaluates the performance by handwritten numeral recognition test. Each of th...
Shusaku Shimizu, Wataru Ohyama, Tetsushi Wakabayas...
ICASSP
2011
IEEE
13 years 12 days ago
Deep Belief Networks using discriminative features for phone recognition
Deep Belief Networks (DBNs) are multi-layer generative models. They can be trained to model windows of coefficients extracted from speech and they discover multiple layers of fea...
Abdel-rahman Mohamed, Tara N. Sainath, George Dahl...
WCE
2007
13 years 9 months ago
E-learning System Based on Neural Networks
—Although the current E-Learning systems have many merits, many of them only treat advanced information technology as simple communication tools, and release some learning conten...
Linfeng Zhang, Fei Yu, Yue Shen, Guiping Liao, Ken...
DMIN
2006
221views Data Mining» more  DMIN 2006»
13 years 10 months ago
Color Image Segmentation Using Pulse-Coupled Neural Network for Locusts Detection
- Pulse-coupled neural network (PCNN) is different from traditional artificial neural networks, which can be applied in many fields, such as image processing. A crucial step in dev...
Xuemei Xiong, Yiming Wang, Xiaochao Zhang