[引用][C] Keras tutorial–traffic sign recognition

Multilevel parser for conditional flow detection in a network device

L Shankar, S Ambe - US Patent 7,274,698, 2007 - Google Patents
1. Field of Invention The present invention relates to network devices, includ ing switches,
routers and bridges, which allow for data to be routed and moved in computing networks …

On accuracy of early traffic classification

B Qu, Z Zhang, L Guo, D Meng - 2012 IEEE Seventh …, 2012 - ieeexplore.ieee.org
The widely employment of traffic encryption, tunneling and other protection/obfuscation
mechanisms in modern network applications, prompts the emergence of traffic behavior (ie …

Sign language recognition from homography

Q Wang, X Chen, C Wang… - 2006 IEEE International …, 2006 - ieeexplore.ieee.org
It is difficult to recognize sign language in different viewpoint. The HMM method is hindered
by the difficulty of extracting view invariant features. The general template matching methods …

Based on HMM and SVM multilayer architecture classifier for Chinese sign language recognition with large vocabulary

J Ye, H Yao, F Jiang - … Conference on Image and Graphics (ICIG …, 2004 - ieeexplore.ieee.org
This paper has put forward a new architecture classifier method for Chinese sign language
recognition (CSLR) to improve the performance of recognition. It is a signer-independent …

[图书][B] Routledge handbook of state recognition

G Visoka, J Doyle, E Newman - 2019 - books.google.com
This new handbook provides a comprehensive and multidisciplinary overview of the
theoretical and empirical aspects of state recognition in international politics. Although the …

[PDF][PDF] Blind application recognition through behavioral classification

L Bernaille, A Soule, MI Jeannin… - CNRS LIP6, Paris, France …, 2005 - Citeseer
Application recognition appears to be an important task for a large number of applications in
security and traffic engineering. Well-known port numbers can no longer be used to reliably …

A linguistic feature vector for the visual interpretation of sign language

R Bowden, D Windridge, T Kadir, A Zisserman… - Computer Vision-ECCV …, 2004 - Springer
This paper presents a novel approach to sign language recognition that provides extremely
high classification rates on minimal training data. Key to this approach is a 2 stage …

Sign classification using local and meta-features

MA Mattar, AR Hanson… - 2005 IEEE Computer …, 2005 - ieeexplore.ieee.org
Our world is populated with visual information that a sighted person makes use of daily.
Unfortunately, the visually impaired are deprived from such information, which limits their …

[PDF][PDF] Using multiple sensors for mobile sign language recognition

H Brashear, T Starner, P Lukowicz… - Seventh IEEE …, 2003 - sites.cc.gatech.edu
We build upon a constrained, lab-based Sign Language recognition system with the goal of
making it a mobile assistive technology. We examine using multiple sensors for …