PPT-Towards Efficient Learning for Visual and Sequential Data

Sachin Mehta Outline Convolution Neural Networks Discrete convolution x0 x1 x2 x3 x4 x5 x6 x7 x8 y4 k0 k1 k2 k3 k4 k5 k6 k7 k8 Input Kernel Output A discrete convolution is a linear transformation. and Sequential Data Sequential Data •Often arise through measurement of time series •Snowfall measurements on successive days in Buffalo •Rainfall measurements in Chirrapunji •Dail Assume that we wish to compute. using the sequential instead of the batch algorithm. Given a set of initial conditions:. There is no . obs. at so we first do a measurement update.. Compute:. Conversion of the Sequential Filter into an Epoch State Filter. FAWN. :. Workloads and Implications. Vijay . Vasudevan. , David Andersen, Michael . Kaminsky. *, Lawrence Tan, . Jason Franklin. , . Iulian. . Moraru. Carnegie Mellon University, *Intel Labs Pittsburgh. Lirong. Xia. Joint work with. . Vincent Conitzer. Jerome Lang. Sep 9, 2011. Computational voting theory IMHO. General combinatorial voting (computational perspective). Strategic sequential voting. . Lee-Ad Gottlieb Hebrew U.. Aryeh Kontorovich Ben Gurion U.. Robert Krauthgamer Weizmann Institute. TexPoint fonts used in EMF. . Read the TexPoint manual before you delete this box.: . A. A. A. A. Example of a Sequential Circuit. D flip-flops. Example: . Start with A=0, B=0, x=0.. A(next)=0. B(next)=0. Y(next)=0. What . are. . A(next), . B(next) and y(next) . given that A=1, B=1 and X=1?. D flip-flops. PSY505. Spring term, 2012. March 26, 2012. Today’s Class. Sequential Pattern Mining. Related to. Association Rule Mining. MOTIF Extraction. Similarities. MOTIF Extraction can be seen as a type of sequential pattern mining. Lecture 8. Hartmut Kaiser. hkaiser@cct.lsu.edu. http://www.cct.lsu.edu/˜. hkaiser. /spring_2015/csc1254.html. Programming Principle of the Day. Principle of least . astonishment (POLA/PLA). The . principle of least astonishment is usually referenced in regards to the user interface, but the same principle applies to written code. . Investigators:. Leon Blazer. Jerad. Thompson. SERVING/. PITCHING. ANALYSIS. Purpose:. Analyze current methods of teaching pitching and serving using visual aids. Desired Effects. . Rope placed 14 inches above top tape of net (102 inches from ground. Iterative Contraction and . Merging. Bayesian Sequential . Partitioning. JND-BSP. 1. Manifold Learning. Bosh Shih. 2. O. utline. Introduction. Principal Component Analysis (PCA. ). Linear Discriminant Analysis (LDA. Programme. René VAN BERKEL. Chief, Cleaner and Sustainable Production Unit. United Nations Industrial Development Organization. November 2014. Resource Efficient and Cleaner Production. 1. Resource Efficient and Cleaner Production. &. . Energy efficiency Data Protocol and Portal (. EeDaPP. ). &. Energy efficient Mortgage Market Implementation Plan (. EeMMIP. ). In the EU 2. 7. there are… . Bring Energy Efficiency to the EU buildings stock: . Vida . Rozite. . The Role of Standardization for Smart Grids in Realizing Their Energy-Efficiency Potential and Their Enabling Effect in Developing Access to Electricity in the Third World. Benefits . Primer on Sequential Design Methods . and Design Choices. Ronan Fitzpatrick. Lead Statistician. nQuery. Webinar. Host. Agenda. Sequential Design Overview. Issues in Sequential Design. Group Sequential Design.