By Xinxue Ma, Jianli Wang, Bin Wang, Tianyu Lv (auth.), Aly A. Farag, Jian Yang, Feng Jiao (eds.)
Proceedings of the third overseas convention on Multimedia know-how (ICMT2013) focuses on either the speculation and functions of multimedia expertise. the new advances, new examine findings and functions within the fields of theoretical, experimental and utilized snapshot & video processing and multimedia expertise provided on the convention are introduced jointly during this publication. it's going to function a necessary reference for scientists and engineers operating in multimedia and comparable fields.
Prof. Aly A. Farag works on the collage of Louisville, united states; Prof. Jian Yang works at Tsinghua collage, China; Dr. Feng Jiao works at Nanjing collage of knowledge technological know-how & know-how, China.
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Extra info for Proceedings of the 3rd International Conference on Multimedia Technology (ICMT 2013)
In: IEEE International Symposium on Communications and Information Technologies (ISCIT), Tokyo, 26–29 Oct 2010, pp 1235–1240 4. Chen WT, Liu JC, Huang HK (2004)An adaptive scheme for vertical handoff in wireless overlay networks. In: IEEE proceeding of the 10th international conference on parallel and distributed system, 7–9 July 2004, pp 541–548 5. He F, Wang F (2008) Position aware vertical handoff decision algorithm in heterogeneous wireless networks. In: 4th international conference on wireless communications, networking and mobile computing, WiCOM ‘08, Dalian, 12–14 Oct 2008, pp 1–5 6.
In this paper, although GOH is used as a global descriptor, it can also be viewed as a local descriptor which describes the local region associated with the key point, in fact, and can be applied to represent and recognize objects other than face in general. The potential discriminating power of GOH will be further explored with more sophisticated recognition methods. The fusion of the scales of GOH needs to be addressed too. References 1. Chen LF, Liao HY, Ko MT, Lin JC, Yu GJ (2000) A new LDA-based face recognition system which can solve the small sample size problem.
Those algorithms are adaptive in nature and can adapt to time-varying channel conditions through training mechanisms. Their adaptive nature makes them more suitable for deployment in practical systems. Examples of this class of algorithms include recursive least square (RLS), least mean square (LMS), and gradient descent based MMSE optimisation. Linear detection is the basis and criterion of lots of useful algorithms, such as sphere decoding, MMSE-SIC, and MMSE-LMS receivers. The key point of the linear detector is the matrix inversion.