PPT-Kernels and

Perceptrons The perceptron A B instance x i Compute y i sign v k x i y i y i If mistake v k1 v k y i x i x is a vector. g BinetCauchy kernels However such approaches are only applicable to time series data living in a Euclidean space eg joint trajectories extracted from motion capture data or feature point trajectories extracted from video Much of the success of rec ij DD ij ij ij ij ij DD DD DD brPage 4br DD ii TATA 4 ij ij TABTAB ij DDD 44 var var AA DD brPage 5br AA DH DH AA 222 TTT GAAA VVV 222 2 4 TTT GAAA DH VVV C S AA CovFS AA Cov brPage 6br DH SC DH DH AA SC AA DH AA DH DH AA brPage 7br DH DH DH Solar . Radiative. Kernel. s. And Applications. Zhonghai Jin. Constantine . Loukachine. Bruce . Wielicki. Xu. Liu. SSAI, Inc. / NASA . Langley research . Center. July 6-9, 2010. Objective:. . Introduce the reflected solar spectral kernels, their spectral characteristics, and the potential applications to CLARREO . Popcorn project. Problem. What brand of microwave popcorn do you get your moneys worth?. Variables. Same size bags of popcorn were popped, Each bag was popped 2 minutes 10 seconds. All bags were butter lovers. Also known as “meta-data”. April 2016. Comments in SPICE Kernels. 2. Comments, also called “meta-data,” are information that describe the context of kernel data, i.e. “data about data”. Comments are provided inside kernels as plain text (prose). April 2016. Porting Kernels. 2. Porting Issues - 1. Data formats vary across platforms, so data files created on platform “X” may not be usable on platform “Y.”. Binary. . formats. : different platforms use different bit patterns to represent numbers (and possibly characters).. Brochure . for Walnuts . Photos . 7 April 2014. Adhering Husk/Hull < 10% (allowed). Photo 1. Adhering Husk/Hull < 10% (allowed). Photo . 2. Dirt < 10% (Allowed): Photo 1. Dirt < 10% (Allowed): Photo 2. April 2016. Agenda. Overview. Kernel architecture. Producing kernels. Using kernels. Introduction to Kernels. 2. Introduction to Kernels. 3. What is a SPICE “Kernel”. “Kernel” means file. “Kernel” means a file . Ross McIlroy, Chris Hawblitzel, Galen Hunt. Microsoft Research. Helios: Heterogeneous Multiprocessing with Satellite Kernels. 1. Problem: HW now heterogeneous. Heterogeneity . ignored. by operating systems. Specialization of Kernelization. Daniel Lokshtanov. We. Kernels. ∃. ¬. . Kernels. Why?. What’s Wrong with Kernels. (from a practitioners point of view). Only handles . NP-hard. problems.. Don’t combine well with . Pipeline . Parallelism from . Multiple . Dependent Kernels for . GPUs. Gwangsun Kim, . Jiyun Jeong, John Kim. Mark Stephenson. GPU Background. CTA. Kernel grid. CTA (Cooperative Thread Array). or Thread block. :. Native & Convenient Heterogeneous. Computing for D. Outline. Introduction. Compiler. Libraries. Using . DCompute. (present and future). Future directions. State of Hardware. X86 . –. all compilers. and . Distributional. Semantics. :. Between. . Syntactic. . Structures. and . Compositional. . Distributional. Semantics. Fabio Massimo . Zanzotto. ART Group. Dipartimento di Ingegneria dell’Impresa. Ke Wang. Sparse Correspondence Problems. Dense Correspondence Problems. Stereo. Motion. Motion vs. Stereo: Differences. Motion: . Uses velocity: consecutive frames must be close to get good approximate time derivative.