Results 281 to 290 of about 6,175,859 (338)

Sign, Sign, Everywhere a Sign!

Philosophy and Phenomenological Research, 2007
For Millikan, purpose pervades the biological order, including the genes and genetically encoded traits of every living thing, the unconditioned reflexes and conditioned behavior of every animal, artifacts produced by humans or non-humans. There are also the conscious, explicit purposes and intentions of human beings.
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Sign-Regressor Wilcoxon and Sign-Sign Wilcoxon

2010 International Conference on Advances in Recent Technologies in Communication and Computing, 2010
It is known that sign LMS and sign regressor LMS are faster than LMS. Inspiring from this idea we have proposed sign regressor Wilcoxon and sign-sign wilcoxon which are robust against the outlier present in the desired data and also faster than Wilcoxon and sign Wilcoxon norm.
Upendra Kumar Sahoo, Ganapati Panda, Bernard Mulgrew   +2 more
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Progressive Transformers for End-to-End Sign Language Production

European Conference on Computer Vision, 2020
The goal of automatic Sign Language Production (SLP) is to translate spoken language to a continuous stream of sign language video at a level comparable to a human translator.
Ben Saunders, Necati Cihan Camgöz, R. Bowden   +2 more
semanticscholar   +1 more source

Sign prediction and sign regression

The Journal of Investment Strategies, 2020
Intuitively, model-predicted signs matter a lot in finance, especially for investment strategy constructions. This paper proposes an approach whereby the loss function regularizes the errors in prediction in different ways. In particular, the loss function considers errors in predicted signs and the sizes and signs of the residuals in the model ...
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BSL-1K: Scaling up co-articulated sign language recognition using mouthing cues

European Conference on Computer Vision, 2020
Recent progress in fine-grained gesture and action classification, and machine translation, point to the possibility of automated sign language recognition becoming a reality.
Samuel Albanie, Gül Varol, Liliane Momeni, Triantafyllos Afouras, Joon Son Chung, Neil Fox, Andrew Zisserman   +6 more
semanticscholar   +1 more source

Fully Convolutional Networks for Continuous Sign Language Recognition

European Conference on Computer Vision, 2020
Continuous sign language recognition (SLR) is a challenging task that requires learning on both spatial and temporal dimensions of signing frame sequences. Most recent work accomplishes this by using CNN and RNN hybrid networks.
Ka Leong Cheng, Zhaoyang Yang, Qifeng Chen, Yu-Wing Tai   +3 more
semanticscholar   +1 more source

Froment's sign

Journal of Audiovisual Media in Medicine, 2003
(2003). Froment's sign. Journal of Audiovisual Media in Medicine: Vol. 26, No. 1, pp. 34-34.
Craig, Richardson, Gerd, Fabre
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Iterative Alignment Network for Continuous Sign Language Recognition

Computer Vision and Pattern Recognition, 2019
In this paper, we propose an alignment network with iterative optimization for weakly supervised continuous sign language recognition. Our framework consists of two modules: a 3D convolutional residual network (3D-ResNet) for feature learning and an ...
Junfu Pu, Wen-gang Zhou, Houqiang Li
semanticscholar   +1 more source

Vital signs

Nursing Standard, 2017
A snapshot of the state of health and social care.
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A Modified LSTM Model for Continuous Sign Language Recognition Using Leap Motion

IEEE Sensors Journal, 2019
Sign language facilitates communication between hearing impaired peoples and the rest of the society. A number of sign language recognition (SLR) systems have been developed by researchers, but they are limited to isolated sign gestures only.
A. Mittal, Pradeep Kumar, P. Roy, R. Balasubramanian, B. Chaudhuri   +4 more
semanticscholar   +1 more source