'Linearize' diaporamas de présentation

EECS 274 Computer Vision

918 views • 63 slides

Congestion Management for Data Centers: IEEE 802.1 Ethernet Standard

Congestion Management for Data Centers: IEEE 802.1 Ethernet Standard. Balaji Prabhakar Departments of EE and CS Stanford University. Background. Data Centers see the true convergence of L3 and L2 transport

788 views • 60 slides

Rigid-Body Alignment

Rigid-Body Alignment. 3D Scan Matching and Registration, Part II ICCV 2005 Short Course Szymon Rusinkiewicz Princeton University. Pairwise Rigid Registration Goal. Align two partially- overlapping meshes given initial guess for relative transform. Outline. ICP: Iterative Closest Points

1.28k views • 57 slides

703 views • 53 slides

737 views • 46 slides

Multimedia Systems

Multimedia Systems. CS-502 Operating Systems. Outline. Requirements and challenges for audio and video in computer systems Systems for multimedia Compression and bandwidth Processor scheduling File, disk, and network management Tanenbaum, Chapter 7 Silbershatz, Chapter 20.

667 views • 46 slides

Laplacian Surface Editing

1.29k views • 42 slides

Design Space Exploration for Power-Efficient Mixed-Radix Ling Adders

Design Space Exploration for Power-Efficient Mixed-Radix Ling Adders. Chung-Kuan Cheng Computer Science and Engineering Depart. University of California, San Diego. Outline. Prefix Adder Problem Background & Previous Work Extensions: High-radix, Ling Our Work Area/Timing/Power Models

982 views • 40 slides

Observers and Kalman Filters

Observers and Kalman Filters. CS 393R: Autonomous Robots. Slides Courtesy of Benjamin Kuipers. Good Afternoon Colleagues. Are there any questions?. Stochastic Models of an Uncertain World. Actions are uncertain. Observations are uncertain. ? i ~ N (0, ? i ) are random variables.

481 views • 37 slides

Keep the Adversary Guessing: Agent Security by Policy Randomization

Keep the Adversary Guessing: Agent Security by Policy Randomization. Praveen Paruchuri University of Southern California paruchur@usc.edu. Motivation: The Prediction Game. Police vehicle Patrols 4 regions Can you predict the patrol pattern ? Pattern 1 Pattern 2

469 views • 34 slides

Atomic Lab

494 views • 33 slides

Finishing up Lecture 10

477 views • 33 slides

Natural Catastrophe Risk and the Changing Environment: Overview and Challenges

Natural Catastrophe Risk and the Changing Environment: Overview and Challenges. Shree Khare, Senior Catastrophe Risk Modeller, RMS Ltd., London. Talk Outline. Focus: Hurricane Risk Modelling Financial motivation Catastrophe modelling basics: Event set framework Components

464 views • 31 slides

Strategies for Processing Ad Hoc Queries on Large Data Warehouses

Strategies for Processing Ad Hoc Queries on Large Data Warehouses. Kurt Stockinger CERN John Wu & Arie Shoshani Lawrence Berkeley National Lab. Outline. Motivation for designing our own software Many large scientific data warehouses need to process ad hoc queries Lack of efficient indices

816 views • 24 slides

Strategies for Processing Ad Hoc Queries on Large Data Warehouses

Strategies for Processing Ad Hoc Queries on Large Data Warehouses. Presented by Fan Wu Instructor: Prof. Elke Rundensteiner April 8, 2004. Outline. Motivation for designing software Many large scientific data warehouses need to process ad hoc queries Lack of efficient indices

442 views • 24 slides

Modeling Renal Hemodynamics E. Bruce Pitman (Buffalo)

Modeling Renal Hemodynamics E. Bruce Pitman (Buffalo). Harold Layton (Duke) Leon Moore (Stony Brook). The Human Kidneys:. are two bean-shaped organs, one on each side of the backbone represent about 0.5% of the total weight of the body

640 views • 23 slides

Bifurcations & XPPAUT

Bifurcations & XPPAUT. Outline. Why to study the phase space? Bifurcations / AUTO Morris-Lecar. A Geometric Way of Thinking. Exact solution:. N. t. K/2. Logistic Differential Equation. K. K. y. x. Graphical/Topological Analysis. When do we understand a dynamical system?

993 views • 23 slides

Accuracy of Pulsatile 2D flow in the Lattice Boltzmann BGK model

Accuracy of Pulsatile 2D flow in the Lattice Boltzmann BGK model. A. M. Artoli, A. G. Hoekstra and P. M. A. Sloot. Section Computational Science Institute Informatics Faculty of Science University of Amsterdam http://www.science.uva.nl/research/scs

424 views • 20 slides

Instabilities of SVD Small eigenvalues -> m+ sensitive to small amounts of noise Small eigenvalues maybe indistinguis

Instabilities of SVD Small eigenvalues -> m+ sensitive to small amounts of noise Small eigenvalues maybe indistinguishable from 0 Possible to remove small eigenvalues to stabilize solution -> Truncated SVD, TSVD Condition number cond(G)=s 1 /s k. TSVD

393 views • 19 slides

Impact of shortages on hybrid push-pull production systems

596 views • 16 slides