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ACCV
2006
Springer
16 years 24 days ago
Boosted Algorithms for Visual Object Detection on Graphics Processing Units
Nowadays, the use of machine learning methods for visual object detection has become widespread. Those methods are robust. They require an important processing power and a high mem...
Hicham Ghorayeb, Bruno Steux, Claude Laurgeau
SOFTVIS
2006
ACM
16 years 22 days ago
Using social agents to visualize software scenarios
Enabling nonexperts to understand a software system and the scenarios of usage of that system can be challenging. Visually modeling a collection of scenarios as social interaction...
Thomas A. Alspaugh, Bill Tomlinson, Eric Baumer
VIZSEC
2005
Springer
16 years 8 days ago
Visual Correlation of Host Processes and Network Traffic
Anomalous communication patterns are one of the leading indicators of computer system intrusions according to the system administrators we have interviewed. But a major problem is...
Glenn A. Fink, Paul Muessig, Chris North
AUSAI
2004
Springer
16 years 6 days ago
Enhanced Importance Sampling: Unscented Auxiliary Particle Filtering for Visual Tracking
Abstract. The particle filter has attracted considerable attention in visual tracking due to its relaxation of the linear and Gaussian restrictions in the state space model. It is...
Chunhua Shen, Anton van den Hengel, Anthony R. Dic...
ICDAR
2003
IEEE
16 years 2 days 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