PDF-Windows Kernel

Architecture Internals Dave Probert Windows Kernel Architect Microsoft MSRAUR Workshop x2013 Beijing China 15 April 2010 NT Timeline the first 20 years 21989 DesignCoding Begins 71993 NT. 1 Hilbert Space and Kernel An inner product uv can be 1 a usual dot product uv 2 a kernel product uv vw where may have in64257nite dimensions However an inner product must satisfy the following conditions 1 Symmetry uv vu uv 8712 X 2 Bilinearity Debugging as Engineering. Much of your time in this course will be spent debugging. In industry, 50% of software dev is debugging. Even more for kernel development. How do you reduce time spent debugging?. Steven C.H. Hoi, . Rong. Jin, . Peilin. Zhao, . Tianbao. Yang. Machine Learning (2013). Presented by Audrey Cheong. Electrical & Computer Engineering. MATH 6397: Data Mining. Background - Online. . Dr. M. . Asaduzzaman. . Professor. Department  of  Mathematics . University . of . Rajshahi. Rajshahi. -6205, Bangladesh. E-mail: md_asaduzzaman@hotmail.com. Definition. Let . H. be a Hilbert space comprising of complex valued . Mode, space, and context: the basics. Jeff Chase. Duke University. 64 bytes: 3 ways. p + 0x0. 0x1f. 0x0. 0x1f. 0x1f. 0x0. char p[]. char *p. int p[]. int* p. p. char* p[]. char** p. Pointers (addresses) are 8 bytes on a 64-bit machine.. Debugging as Engineering. Much of your time in this course will be spent debugging. In industry, 50% of software dev is debugging. Even more for kernel development. How do you reduce time spent debugging?. A B M Shawkat Ali. 1. 2. Data Mining. ¤. . DM or KDD (Knowledge Discovery in Databases). Extracting previously unknown, valid, and actionable information . . . crucial decisions. ¤. . Approach. Presented by:. Nacer Khalil. Table of content. Introduction. Definition of robustness. Robust Kernel Density Estimation. Nonparametric . Contamination . Models. Scaled project Kernel Density Estimator. John Erickson, . Madanlal. . Musuvathi. , Sebastian Burckhardt, Kirk . Olynyk. Microsoft . Research. Motivations. Need for race detection in Kernel modules. Also must detect race conditions between hardware and Kernel. Jose C. . Principe. Computational . NeuroEngineering. . Laboratory (CNEL). University . of Florida. principe@cnel.ufl.edu. Acknowledgments. Dr. Weifeng Liu, Amazon. Dr. . Badong. Chen, . Tsinghua. University and Post Doc CNEL. Tomasz Zukowski . Inobits Consulting. Session Code: WSV301. Question:. How many of you do security at your company?. Question:. How many of you ASKED to do security at your company?. What's This Talk All About?. Chas Jeffries. Principal Program Manager. Windows Enterprise and Security . Threat Landscape . Demo. Containers. Q&A. Agenda. Windows Defender Application Guard Overview. Evolution of . attacks. Mischief. Mark . Russinovich. Technical Fellow, Windows. Microsoft. Session Code: CLI401. About Me. Technical Fellow, Microsoft. Co-founder and Chief Software . Architect of . Winternals. Software . Co-author of Windows Internals 4th and 5th . Object Recognition. Murad Megjhani. MATH : 6397. 1. Agenda. Sparse Coding. Dictionary Learning. Problem Formulation (Kernel). Results and Discussions. 2. Motivation. Given a 16x16(or . nxn. ) image .