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Titlebook: Kernel Learning Algorithms for Face Recognition; Jun-Bao Li,Shu-Chuan Chu,Jeng-Shyang Pan Book 2014 Springer Science+Business Media New Yo

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Jun-Bao Li,Shu-Chuan Chu,Jeng-Shyang Pantensive research, where the increasing granularity of data has prompted interest in increasingly complex models. More recent high-dimensional methods, in contrast, allow for models with many more parameters. These methods are the topic of this chapter.
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Jun-Bao Li,Shu-Chuan Chu,Jeng-Shyang Paner by materialsand environments. For theories, assumptions and premises employedare noted soas to examine their versatility. Because of the interdisciplinary nature of thesubject, brief descriptions of fundamental ideas are presented when necessary..
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Jun-Bao Li,Shu-Chuan Chu,Jeng-Shyang Panth particular attention to their implication rather than phenomenological appearance. The adoptedexperimental conditions are also noted since the operating mechanism of hydrogen might differ by material and environment. For theories, employed assumptions and premises are noted to examine their versa
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escription of materials science and electronic behavior of various dielectrics and related interfaces, as well as physics of fabricated devices and MOSFET fabrication technologies. Topics also include recent progress and understanding of various materials systems; specific issues for electrical meas
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