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Titlebook: Haptics: Perception, Devices, Mobility, and Communication; 8th International Co Poika Isokoski,Jukka Springare Conference proceedings 2012

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41#
發(fā)表于 2025-3-28 15:10:33 | 只看該作者
Conference proceedings 2012d in Tampere, Finland, in June 2012. The 99 papers (56 full papers, 32 short papers, and 11 demo?papers) presented were carefully reviewed and selected from 153 submissions. Part I contains the full papers whereas Part II contains the short papers and the demo papers.
42#
發(fā)表于 2025-3-28 22:47:18 | 只看該作者
https://doi.org/10.1007/978-3-642-31401-8haptic interfaces; pseudo-haptic textures; tactile rendering; teleoperation; touch input
43#
發(fā)表于 2025-3-28 23:58:01 | 只看該作者
Christopher T. Asque,Andy M. Day,Stephen D. LaycockWe give a survey on the notion of affine Grassmannian, on affine Springer fibers and the purity conjecture of Goresky, Kottwitz, and MacPherson, and on affine Deligne-Lusztig varieties and results about their dimensions in the hyperspecial and Iwahori cases.
44#
發(fā)表于 2025-3-29 05:28:22 | 只看該作者
45#
發(fā)表于 2025-3-29 07:39:02 | 只看該作者
Buket Baylan,Ugur Aridogan,Cagatay BasdoganWe present recent joint work with Peter Trapa on the notion of twisted Dirac index and its applications to (twisted) characters and to extensions of modules in a short and informal way. We also announce some further generalizations with applications to Lefschetz numbers and automorphic forms.
46#
發(fā)表于 2025-3-29 11:47:03 | 只看該作者
47#
發(fā)表于 2025-3-29 17:41:09 | 只看該作者
48#
發(fā)表于 2025-3-29 23:08:27 | 只看該作者
978-3-642-31400-1Springer-Verlag Berlin Heidelberg 2012
49#
發(fā)表于 2025-3-30 00:34:31 | 只看該作者
Haptics: Perception, Devices, Mobility, and Communication978-3-642-31401-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
50#
發(fā)表于 2025-3-30 08:00:23 | 只看該作者
nd main mathematical properties are described in her paper [25]. They are also named because, as we will see, their marginal laws follow Wishart distributions. These distributions have been introduced by Wishart [124] in 1928. They arise naturally in statistics when estimating the covariance matrix
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