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ICDAR
2003
IEEE
15 years 3 months ago
Best Practices for Convolutional Neural Networks Applied to Visual Document Analysis
Neural networks are a powerful technology for classification of visual inputs arising from documents. However, there is a confusing plethora of different neural network methods th...
Patrice Simard, David Steinkraus, John C. Platt
APNOMS
2006
Springer
15 years 1 months ago
Detecting and Identifying Network Anomalies by Component Analysis
Many research works address detection and identification of network anomalies using traffic analysis. This paper considers large topologies, such as those of an ISP, with traffic a...
Le The Quyen, Marat Zhanikeev, Yoshiaki Tanaka
ESANN
2004
14 years 11 months ago
Shear strength prediction using dimensional analysis and functional networks
This paper presents a three steps methodology for predicting the failure shear effort in concrete beams. In the first step, dimensional analysis is applied to obtain several sets o...
Amparo Alonso-Betanzos, Enrique Castillo, Oscar Fo...
RTSS
2009
IEEE
15 years 4 months ago
Impact of Data Fusion on Real-Time Detection in Sensor Networks
—Real-time detection is an important requirement of many mission-critical wireless sensor network applications such as battlefield monitoring and security surveillance. Due to t...
Rui Tan, Guoliang Xing, Benyuan Liu, Jianping Wang
COMCOM
2006
151views more  COMCOM 2006»
14 years 10 months ago
Characteristic analysis of internet traffic from the perspective of flows
The necessity of network traffic monitoring and analysis is growing dramatically with increasing network usage demands from individual users as well as business communities. Most ...
Myung-Sup Kim, Young J. Won, James W. Hong