Searched for: subject:"Deep%5C+neural%5C+networks"
(1 - 7 of 7)
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Paardekooper, J.P. (author), Comi, M. (author), Grappiolo, C. (author), Snijders, R. (author), van Vught, W. (author), Beekelaar, R. (author)
An increasing number of tasks is being taken over from the human driver as automated driving technology is developed. Accidents have been reported in situations where the automated driving technology was not able to function according to specifications. As data-driven Artificial Intelligence (AI) systems are becoming more ubiquitous in automated...
conference paper 2021
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Nieuwenhuizen, R.P.J. (author), Bouwman, D.D. (author), Schutte, K. (author)
High resolution images are critical for a wide variety of military detection, recognition and identification tasks. Super-resolution reconstruction algorithms aim to enhance the image resolution beyond the capability of the imaging system being used. Until recently, undersampling of the optical signal on the image sensor has been the key factor...
conference paper 2018
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Heiligers, M.J.C. (author), Huizing, A.G. (author)
conference paper 2018
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Nieuwenhuizen, R.P.J. (author), Kruithof, M. (author), Schutte, K. (author)
High resolution imagery is of crucial importance for the performance on visual recognition tasks. Super-resolution (SR) reconstruction algorithms aim to enhance the image resolution beyond the capability of the image sensor being used. Traditional SR algorithms approach this inverse problem using physical models for the image formation combined...
conference paper 2017
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Raaijmakers, S.A. (author), Sappelli, M. (author), Kraaij, W. (author)
In this short paper, we address the interpretability of hidden layer representations in deep text mining: deep neural networks applied to text mining tasks. Following earlierwork predating deep learning methods, we exploit the internal neural network activation (latent) space as a source for performing k-nearest neighbor search, looking for...
conference paper 2017
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de Boer, M.H.T. (author), Lu, Y.J. (author), Zhang, H. (author), Schutte, K. (author), Ngo, C.W. (author), Kraaij, W. (author)
Searching in digital video data for high-level events, such as a parade or a car accident, is challenging when the query is textual and lacks visual example images or videos. Current research in deep neural networks is highly beneficial for the retrieval of high-level events using visual examples, but without examples it is still hard to (1)...
article 2017
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Dekker, B. (author), Jacobs, S. (author), Kossen, A.S. (author), Kruithof, M.C. (author), Huizing, A.G. (author), Geurts, M. (author)
Gesture recognition with radar enables remote control of consumer devices such as audio equipment, television sets and gaming consoles. In this paper, experimental results of hand gesture recognition with a low power FMCW radar and a deep convolutional neural network (CNN) are presented. The FMCW radar operates in the 24 GHz ISM frequency band...
conference paper 2017
Searched for: subject:"Deep%5C+neural%5C+networks"
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