Searched for: department%3A%22Pattern%255C+Recognition%22
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De Veld, D.C.G. (author), Skurichina, M. (author), Witjes, M.J.H. (author), Duin, R.P.W. (author), Sterenborg, H.J.C.M. (author), Roodenburg, J.L.N. (author)
journal article 2004
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Wang, J. (author), Reinders, M.J.T. (author), Pouwelse, J. (author), Lagendijk, R.L. (author)
The Wi-Fi walkman is a mobile multimedia application that we developed to investigate the technological and usability aspects of human-computer interaction with personalized, intelligent and context-aware wearable devices in peer-to-peer wireless environments such as the future home, office, or university campuses. It is a small handheld device...
conference paper 2005
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Klijn, C.N. (author)
Cancer is a genetic disease. Step-wise alteration of genes that have a normal function in the cell can lead to the transformation of a healthy cell into a malignant cancer cell. Cancer genes provide several traits to the cell that allow it to become malignant. These traits have been researched for many years, and currently one knows quite well...
doctoral thesis 2011
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Saygili, G. (author)
Depth extraction is one of the important steps of $3$D computer vision (CV). Although, it has been researched for many decades and there are variety of methods already that addresses depth extraction, there is no perfect solution that satisfies the needs of all CV algorithms. Stereo vision is implemented in CV as a matching algorithm where an...
doctoral thesis 2015
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Van der Laan, T.A. (author)
The works [Volodymyr et al. Playing atari with deep reinforcement learning. arXiv preprint arXiv:1312.5602, 2013.] and [Volodymyr et al. Human-level control through deep reinforcement learning. Nature, 518(7540):529–533, 2015.] have demonstrated the power of combining deep neural networks with Watkins Q learning. They introduce deep Q networks ...
journal article 2015
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