Explore
Upload

DocSlides is a free service to upload presentations and documents.

Upload Now

Search Results for 'John Learning'

John Learning published presentations and documents on DocSlides.

Object Segmentation by Long Term Analysis of Point Trajectories Thomas Brox and Jitendra Malik University of California at Berkeley AlbertLudwigsUniversity of Freiburg Germany broxmalik eecs

Object Segmentation by Long Term Analysis of Point Trajectories Thomas Brox and Jitendra Malik University of California at Berkeley AlbertLudwigsUniversity of Freiburg Germany broxmalik eecs

  • briana-ranney
  • 14 Slides

berkeleyedu Abstract Unsupervised learning require...

Learning the Distribution of Object Trajectories for Event Recognition Neil Johnson and David Hogg School of Computer Studies The University of Leeds Leeds LS JT United Kingdom email neiljdch scs

Learning the Distribution of Object Trajectories for Event Recognition Neil Johnson and David Hogg School of Computer Studies The University of Leeds Leeds LS JT United Kingdom email neiljdch scs

  • lindy-dunigan
  • 10 Slides

leedsacuk Abstract The advent in recent years of r...

Deep surface and strategic approaches to learning Deep surface and strategic approaches to learning Contributor Jackie Lublin Centre for Teaching and Learning Good Practice in Teaching and Learning

Deep surface and strategic approaches to learning Deep surface and strategic approaches to learning Contributor Jackie Lublin Centre for Teaching and Learning Good Practice in Teaching and Learning

  • pamella-moone
  • 11 Slides

It is quite likely that the way you answer this h...

Journal of Statistics Education Volume Number Naive Analysis of Variance W

Journal of Statistics Education Volume Number Naive Analysis of Variance W

  • stefany-barnette
  • 17 Slides

John Braun University of Western Ontario Journal ...

Angular Kinematics Learning Objectives Define angular kinematics Understand compute absolute relative angles angular displacements velocities accelerations Estimate instantaneous angular velocity

Angular Kinematics Learning Objectives Define angular kinematics Understand compute absolute relative angles angular displacements velocities accelerations Estimate instantaneous angular velocity

  • sherrill-nordquist
  • 9 Slides

Be able to identify phases of movement infer sou...

On the importance of initialization and momentum in deep learning Ilya Sutskever ilyasugoogle

On the importance of initialization and momentum in deep learning Ilya Sutskever ilyasugoogle

  • faustina-dinatale
  • 9 Slides

com James Martens jmartenscstorontoedu George Dahl...

Reinforcement Learning Neural Networks and PI Control Applied to a Heating Coil Charles W

Reinforcement Learning Neural Networks and PI Control Applied to a Heating Coil Charles W

  • conchita-marotz
  • 8 Slides

Anderson Douglas C Hittle Alon D Katz and R Ma...

Synthesis of Reinforcement Learning Neural Networks and PI Control Applied to a Simulated Heating Coil Charles W

Synthesis of Reinforcement Learning Neural Networks and PI Control Applied to a Simulated Heating Coil Charles W

  • karlyn-bohler
  • 15 Slides

Anderson Douglas C Hittle Alon D Katz and R Ma...

JanuaryFebruary Ahead of Print Financial Analysts Journal Volume Number CFA Institute AHEAD OF PRINT PERSPECTIVES The Arithmetic of AllIn Investment Expenses John C

JanuaryFebruary Ahead of Print Financial Analysts Journal Volume Number CFA Institute AHEAD OF PRINT PERSPECTIVES The Arithmetic of AllIn Investment Expenses John C

  • lindy-dunigan
  • 9 Slides

Bogle This article represents a rare if not uniqu...

A Direct Adaptive Method for Faster Backpropagation Learning The RPROP Algorithm Martin Riedmiller Heinrich Braun Institut fur Logik Komplexitat und Deduktionssyteme University of Karlsruhe W Karlsru

A Direct Adaptive Method for Faster Backpropagation Learning The RPROP Algorithm Martin Riedmiller Heinrich Braun Institut fur Logik Komplexitat und Deduktionssyteme University of Karlsruhe W Karlsru

  • luanne-stotts
  • 6 Slides

ukade Abstract A new learning algorithm for multi ...

Fast and Accurate Bessel Function Computation John Harrison Intel Corporation JF NE th Avenue Hillsboro OR USA Email johnhichips

Fast and Accurate Bessel Function Computation John Harrison Intel Corporation JF NE th Avenue Hillsboro OR USA Email johnhichips

  • tawny-fly
  • 10 Slides

intelcom Abstract The Bessel functions are conside...

Intro to Bilinear Maps Intro to Bilinear Maps John Bethencourt bethencocs

Intro to Bilinear Maps Intro to Bilinear Maps John Bethencourt bethencocs

  • kittie-lecroy
  • 28 Slides

cmuedu Computer Sciences Department Carnegie Mello...

Aggregate Disturbances Monetary Policy and the Macroeconomy The FRBUS Perspective David Reifschneider Robert Tetlow and John Wil liams of the Boards Division of Research and Statis tics prepared this

Aggregate Disturbances Monetary Policy and the Macroeconomy The FRBUS Perspective David Reifschneider Robert Tetlow and John Wil liams of the Boards Division of Research and Statis tics prepared this

  • briana-ranney
  • 19 Slides

The US economy is continually buffeted by dis tur...

Filter Forests for Learning DataDependent Convolutional Kernels Sean Ryan Fanello Cem Keskin Pushmeet Kohli Shahram Izadi Jamie Shotton Antonio Criminisi Ugo Pattacini Tim Paek Microsoft Research iC

Filter Forests for Learning DataDependent Convolutional Kernels Sean Ryan Fanello Cem Keskin Pushmeet Kohli Shahram Izadi Jamie Shotton Antonio Criminisi Ugo Pattacini Tim Paek Microsoft Research iC

  • liane-varnes
  • 8 Slides

FF can be used for general signal restoration tas...

The DirectoryBased Cache Coherence Protocol for the DASH Multiprocessor Daniel Lenoski James Laudon Kourosh Gharachorloo Anoop Gupta and John Hennessy Computer Systems Laboratory Stanford University

The DirectoryBased Cache Coherence Protocol for the DASH Multiprocessor Daniel Lenoski James Laudon Kourosh Gharachorloo Anoop Gupta and John Hennessy Computer Systems Laboratory Stanford University

  • alexa-scheidler
  • 12 Slides

The architecture consists of powerful processing ...

Inter connectA war Coher ence Pr otocols or Chip Multipr ocessors Liqun Cheng Na een Muralimanohar Karthik Ramani Rajee Balasubramonian John B

Inter connectA war Coher ence Pr otocols or Chip Multipr ocessors Liqun Cheng Na een Muralimanohar Karthik Ramani Rajee Balasubramonian John B

  • olivia-moreira
  • 12 Slides

Carter School of Computing Uni ersity of Utah le ...

Proceedings IROS Conference on Intelligent Robots and Systems Takamatsu Japan Planning and ModelBased Control for Mobile Manipulators Evangelos Papadopoulos and John Poulakakis Department of Mechani

Proceedings IROS Conference on Intelligent Robots and Systems Takamatsu Japan Planning and ModelBased Control for Mobile Manipulators Evangelos Papadopoulos and John Poulakakis Department of Mechani

  • phoebe-click
  • 6 Slides

This paper presents a planning and control method...

Learning a CategoryIndependent Object Detection Cascade Esa Rahtu Juho Kannala Machine Vision Group University of Oulu Finland Matthew Blaschko Visual Geometry Group University of Oxford UK Abstract

Learning a CategoryIndependent Object Detection Cascade Esa Rahtu Juho Kannala Machine Vision Group University of Oulu Finland Matthew Blaschko Visual Geometry Group University of Oxford UK Abstract

  • briana-ranney
  • 8 Slides

Here we focus on the 64257rst layers of a categor...

MultipleInstance Pruning For Learning Efcient Cascade Detectors Cha Zhang and Paul Viola Microsoft Research One Microsoft Way Redmond WA chazhangviola microsoft

MultipleInstance Pruning For Learning Efcient Cascade Detectors Cha Zhang and Paul Viola Microsoft Research One Microsoft Way Redmond WA chazhangviola microsoft

  • liane-varnes
  • 8 Slides

com Abstract Cascade detectors have been shown to ...

Best Practices for Convolutional Neural Networks Applied to Vis ual Document Analys Patrice Y

Best Practices for Convolutional Neural Networks Applied to Vis ual Document Analys Patrice Y

  • celsa-spraggs
  • 6 Slides

Simard Dave Steinkraus John C Platt Abstract 1 In...

IDC IDC I V I E W xtracting Value from Chaos June By John Gantz and David Reinsel Sponsored by EMC Corporation Content for this paper is excerpted directly from the IDC iView Extracting Value from

IDC IDC I V I E W xtracting Value from Chaos June By John Gantz and David Reinsel Sponsored by EMC Corporation Content for this paper is excerpted directly from the IDC iView Extracting Value from

  • ellena-manuel
  • 12 Slides

The multimedia content can be viewed at httpwwwem...

Text Detection and Character Recognition in Scene Images with Unsupervised Feature Learning Adam Coates Blake Carpenter Carl Case Sanjeev Satheesh Bipin Suresh Tao Wang David J

Text Detection and Character Recognition in Scene Images with Unsupervised Feature Learning Adam Coates Blake Carpenter Carl Case Sanjeev Satheesh Bipin Suresh Tao Wang David J

  • karlyn-bohler
  • 6 Slides

Wu Andrew Y Ng Computer Science Department Stanfo...

Journal of Machine Learning Research Submitted Published SupportVectorClustering Asa BenHur asabarnhilltechnologies

Journal of Machine Learning Research Submitted Published SupportVectorClustering Asa BenHur asabarnhilltechnologies

  • tawny-fly
  • 13 Slides

com BIOwulf Technologies 2030 Addison st suite 102...

CHAPTER GENERATIVE AND DISCRIMINATIVE CLASSIFIERS NAIVE BAYES AND LOGISTIC REGRESSION Machine Learning Copyright

CHAPTER GENERATIVE AND DISCRIMINATIVE CLASSIFIERS NAIVE BAYES AND LOGISTIC REGRESSION Machine Learning Copyright

  • faustina-dinatale
  • 17 Slides

Tom M Mitchell All rights reserved DRAFT OF Janua...

PN Learning Bootstrapping Binary Classiers by Structural Constraints Zdenek Kalal University of Surrey Guildford UK z

PN Learning Bootstrapping Binary Classiers by Structural Constraints Zdenek Kalal University of Surrey Guildford UK z

  • tatiana-dople
  • 8 Slides

kalalsurreyacuk Jiri Matas Czech Technical Univers...

CoarsetoFine Inference and Learning for FirstOrder Probabilistic Models Chlo e Kiddon and Pedro Domingos Department of Computer Science Engineering University of Washington Seattle WA chloepedrod c

CoarsetoFine Inference and Learning for FirstOrder Probabilistic Models Chlo e Kiddon and Pedro Domingos Department of Computer Science Engineering University of Washington Seattle WA chloepedrod c

  • min-jolicoeur
  • 8 Slides

washingtonedu Abstract Coarseto64257ne approaches ...

Using feedback to help students to learn Phil Race Summary Feedback is vital in just about all learning contexts

Using feedback to help students to learn Phil Race Summary Feedback is vital in just about all learning contexts

  • alexa-scheidler
  • 11 Slides

These p ages look at the central role that feedba...

Learning Stochastic Feedforward Neural Networks Yichuan Tang Department of Computer Science University of Toronto Toronto Ontario Canada

Learning Stochastic Feedforward Neural Networks Yichuan Tang Department of Computer Science University of Toronto Toronto Ontario Canada

  • luanne-stotts
  • 9 Slides

tangcstorontoedu Ruslan Salakhutdinov Department ...

Finding and Understanding Bugs in C Compilers Xuejun Yang Yang Chen Eric Eide John Regehr University of Utah School of Computing jxyang chenyang eeide regehr cs

Finding and Understanding Bugs in C Compilers Xuejun Yang Yang Chen Eric Eide John Regehr University of Utah School of Computing jxyang chenyang eeide regehr cs

  • yoshiko-marsland
  • 12 Slides

utahedu Abstract Compilers should be correct To im...

Learning realistic human actions from movies Ivan Laptev Marcin Marszaek Cordelia Schmid Benjamin Rozenfeld INRIA Rennes IRISA INRIA Grenoble LEAR LJK BarIlan University ivan

Learning realistic human actions from movies Ivan Laptev Marcin Marszaek Cordelia Schmid Benjamin Rozenfeld INRIA Rennes IRISA INRIA Grenoble LEAR LJK BarIlan University ivan

  • ellena-manuel
  • 8 Slides

laptevinriafr marcinmarszalekinriafr cordeliaschmi...

LAP WINDING Figure from Principles of Electric Machines and Power Electronics nd Edition P

LAP WINDING Figure from Principles of Electric Machines and Power Electronics nd Edition P

  • tatyana-admore
  • 3 Slides

C Sen John Wiley and Sons 1997 Figure represents a...

Nonlinear Learning using Local Coordinate Coding Kai Yu NEC Laboratories America kyusv

Nonlinear Learning using Local Coordinate Coding Kai Yu NEC Laboratories America kyusv

  • test
  • 9 Slides

neclabscom Tong Zhang Rutgers University tzhangsta...

Multivariable Control Lecture Stable Coprime Factorization John T

Multivariable Control Lecture Stable Coprime Factorization John T

  • conchita-marotz
  • 14 Slides

Wen September 28 2006 brPage 2br JTWMV09 RPI ECSE...

Journal of Machine Learning Research Submi tted Revised Published ErrorCorrecting Ouput Codes Library Sergio Escalera SERGIO MAIA UB ES Oriol Pujol ORIOL MAIA UB ES Petia Radeva PETIA IVANOVA U

Journal of Machine Learning Research Submi tted Revised Published ErrorCorrecting Ouput Codes Library Sergio Escalera SERGIO MAIA UB ES Oriol Pujol ORIOL MAIA UB ES Petia Radeva PETIA IVANOVA U

  • pamella-moone
  • 4 Slides

The ECOC framework is a powerful tool to deal wit...

ErrorCorrecting Tournaments Alina Beygelzimer John Langford and Pradeep Ravikumar IBM Thomas J

ErrorCorrecting Tournaments Alina Beygelzimer John Langford and Pradeep Ravikumar IBM Thomas J

  • pasty-toler
  • 15 Slides

Watson Research Center Hawthorne NY 10532 USA bey...

Coupled SemiSupervised Learning for Information Extraction Andrew Carlson Schoool of Computer Science Carnegie Mellon University Pittsburgh PA acarlsoncs

Coupled SemiSupervised Learning for Information Extraction Andrew Carlson Schoool of Computer Science Carnegie Mellon University Pittsburgh PA acarlsoncs

  • celsa-spraggs
  • 10 Slides

cmuedu Justin Betteridge Schoool of Computer Scien...

SemiCoupled Dictionary Learning with Applications to Image SuperResolution and PhotoSketch Synthesis Shenlong Wang Lei Zhang Yan Liang Quan Pan Northwestern Polytechnical University The Hong Kong Pol

SemiCoupled Dictionary Learning with Applications to Image SuperResolution and PhotoSketch Synthesis Shenlong Wang Lei Zhang Yan Liang Quan Pan Northwestern Polytechnical University The Hong Kong Pol

  • myesha-ticknor
  • 8 Slides

wanggmailcom cslzhangcomppolyueduhk liangyannwpued...

Coupled Dictionary and Feature Space Learning with Applications to CrossDomain Image Synthesis and Recognition DeAn Huang and YuChiang Frank Wang Research Center for Information Technology Innovation

Coupled Dictionary and Feature Space Learning with Applications to CrossDomain Image Synthesis and Recognition DeAn Huang and YuChiang Frank Wang Research Center for Information Technology Innovation

  • giovanna-bartolotta
  • 8 Slides

com ycwangcitisinicaedutw Abstract Crossdomain ima...

Properties of the Trace and Matrix Derivatives John Duchi Contents Notation Matrix multiplication Gradient of linear function Derivative in a trace Derivative of product in trace Derivative

Properties of the Trace and Matrix Derivatives John Duchi Contents Notation Matrix multiplication Gradient of linear function Derivative in a trace Derivative of product in trace Derivative

  • lois-ondreau
  • 4 Slides

We have that AA 1 that is that the product of AA ...

JOHNS HOPKINS APL TECHNICAL DIGEST VOLUME NUMBER THE END OF CLASSICAL DETERMINISM BASIC RESEARCH The End of Classical Determinism John C

JOHNS HOPKINS APL TECHNICAL DIGEST VOLUME NUMBER THE END OF CLASSICAL DETERMINISM BASIC RESEARCH The End of Classical Determinism John C

  • trish-goza
  • 15 Slides

Sommerer imple classical systems can be so unpred...

Copyright © 2024 DocSlides. All Rights Reserved