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Titlebook: Industrial Control Systems Security and Resiliency; Practice and Theory Craig Rieger,Indrajit Ray,Michael A. Haney Book 2019 Springer Natur

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41#
發(fā)表于 2025-3-28 14:38:32 | 只看該作者
ng conditions, its geometry remains constant. In this work, we study the fundamental characteristic properties of texture geometry—self similarity and scale variability—and exploit them to perform surface normal estimation, and geometric texture classification. Textures, whether they are regular or
42#
發(fā)表于 2025-3-28 20:12:47 | 只看該作者
43#
發(fā)表于 2025-3-28 23:09:08 | 只看該作者
44#
發(fā)表于 2025-3-29 05:34:46 | 只看該作者
Curtis St. Michel,Sarah Freeman RGB cameras as well as depth information have been widely explored in computer vision there is surprisingly little recent work combining multiple cameras and depth information. Given the recent emergence of consumer depth cameras such as Kinect we explore how multiple cameras and active depth senso
45#
發(fā)表于 2025-3-29 09:43:03 | 只看該作者
46#
發(fā)表于 2025-3-29 12:42:35 | 只看該作者
Pengyuan Wang,Manimaran Govindarasucal constraints is known to be non-convex and usually leads to difficulty in finding an optimal solution. An attractive alternative is to learn a prior model of the human body from a set of human pose data. In this paper, we develop a new approach, namely pose locality constrained representation (PL
47#
發(fā)表于 2025-3-29 18:56:24 | 只看該作者
48#
發(fā)表于 2025-3-29 22:48:19 | 只看該作者
Pin-Yu Chen,Sutanay Choudhury,Luke Rodriguez,Alfred O. Hero,Indrajit Ray contributions in various facial expressions. Motivated by this, a novel framework, named Feature Disentangling Machine (FDM), is proposed to effectively select active features characterizing facial expressions. More importantly, the FDM aims to disentangle these selected features into non-overlappe
49#
發(fā)表于 2025-3-30 01:28:53 | 只看該作者
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