Explore
Upload

DocSlides is a free service to upload presentations and documents.

Upload Now

Search Results for 'God Andrew'

God Andrew published presentations and documents on DocSlides.

Efcient sparse coding algorithms Honglak Lee Alexis Battle Rajat Raina Andrew Y

Efcient sparse coding algorithms Honglak Lee Alexis Battle Rajat Raina Andrew Y

  • lindy-dunigan
  • 8 Slides

Ng Computer Science Department Stanford Universit...

Maximum Flows by Incremental BreadthFirst Search Andrew V

Maximum Flows by Incremental BreadthFirst Search Andrew V

  • jane-oiler
  • 12 Slides

Goldberg Sagi Hed Haim Kaplan Robert E Tarjan ...

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...

Recursive CoarsetoFine Localization for fast Object Detection Marco Pedersoli Jordi Gonzalez Andrew D

Recursive CoarsetoFine Localization for fast Object Detection Marco Pedersoli Jordi Gonzalez Andrew D

  • mitsue-stanley
  • 14 Slides

Bagdanov and Juan J Villanueva Dept Ciencies de l...

Probabilistic Programming Andrew D

Probabilistic Programming Andrew D

  • marina-yarberry
  • 13 Slides

Gordon Microsoft Research adgmicrosoftcom Thomas ...

Spacetime Constraints Andrew Witkin Michael Kass Schlumberger Palo Alto Research Hillview Avenue Palo Alto CA Abstract Spacetime constraints are a new method for creating char acter animation

Spacetime Constraints Andrew Witkin Michael Kass Schlumberger Palo Alto Research Hillview Avenue Palo Alto CA Abstract Spacetime constraints are a new method for creating char acter animation

  • calandra-battersby
  • 11 Slides

The animator speci731es what the character has to...

Rectier Nonlinearities Improve Neural Network Acoustic Models Andrew L

Rectier Nonlinearities Improve Neural Network Acoustic Models Andrew L

  • faustina-dinatale
  • 6 Slides

Maas amaascsstanfordedu Awni Y Hannun awnicsstanf...

Image Compression Using the Discrete Cosine Transform Andrew B

Image Compression Using the Discrete Cosine Transform Andrew B

  • pasty-toler
  • 17 Slides

Watson NASA Ames Research Center Abstract The dis...

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...

Deterministic Galois Ondemand Portable and Parameterless Donald Nguyen Andrew Lenharth Keshav Pingali The University of Texas at Austin Texas USA ddncs lenharthices pingalics

Deterministic Galois Ondemand Portable and Parameterless Donald Nguyen Andrew Lenharth Keshav Pingali The University of Texas at Austin Texas USA ddncs lenharthices pingalics

  • test
  • 13 Slides

utexasedu Abstract Nondeterminism in program execu...

Using Maximum Entropy for Text Classication Kamal Nigam knigamcs

Using Maximum Entropy for Text Classication Kamal Nigam knigamcs

  • min-jolicoeur
  • 7 Slides

cmuedu John La64256erty la64256ertycscmuedu Andrew...

Sparse Filtering Jiquan Ngiam Pang Wei Koh Zhenghao Chen Sonia Bhaskar Andrew Y

Sparse Filtering Jiquan Ngiam Pang Wei Koh Zhenghao Chen Sonia Bhaskar Andrew Y

  • trish-goza
  • 9 Slides

Ng Computer Science Department Stanford Universit...

Protocols for Secure Computations extended abstract Andrew C

Protocols for Secure Computations extended abstract Andrew C

  • tatiana-dople
  • 5 Slides

Yao University of California Berkeley California ...

Highway Dimension Shortest Paths and Provably Ecient Algorithms Ittai Abraham Amos Fiat Andrew V

Highway Dimension Shortest Paths and Provably Ecient Algorithms Ittai Abraham Amos Fiat Andrew V

  • olivia-moreira
  • 12 Slides

Goldberg Renato F Werneck Abstract Computing dri...

Connection Subgraphs in Social Networks Christos Faloutsos Kevin S

Connection Subgraphs in Social Networks Christos Faloutsos Kevin S

  • ellena-manuel
  • 12 Slides

McCurley Andrew Tomkins Abstract connection subgr...

An Application of Reinforcement Learning to Aerobatic Helicopter Flight Pieter Abbeel Adam Coates Morgan Quigley Andrew Y

An Application of Reinforcement Learning to Aerobatic Helicopter Flight Pieter Abbeel Adam Coates Morgan Quigley Andrew Y

  • lindy-dunigan
  • 8 Slides

Ng Computer Science Dept Stanford University Stan...

Autonomous inverted helicopter ight via reinforcement learning Andrew Y

Autonomous inverted helicopter ight via reinforcement learning Andrew Y

  • luanne-stotts
  • 10 Slides

Ng Adam Coates Mark Diel Varun Ganapathi Jami...

Slide A Heuristic Search Andrew W

Slide A Heuristic Search Andrew W

  • lindy-dunigan
  • 13 Slides

Moore Professor School of Computer Science Carneg...

Unsupervised Discovery of Visual Object Class Hierarchies Josef Sivic Bryan C

Unsupervised Discovery of Visual Object Class Hierarchies Josef Sivic Bryan C

  • liane-varnes
  • 8 Slides

Russell Andrew Zisserman William T Freeman Alexei...

Iterative Improvement Search Hill Climbing Simulated Annealing WALKSAT and Genetic Algorithms Andrew W

Iterative Improvement Search Hill Climbing Simulated Annealing WALKSAT and Genetic Algorithms Andrew W

  • lindy-dunigan
  • 14 Slides

Moore Professor School of Computer Science Carneg...

Geodesic Star Convexity for Interactive Image Segmentation Varun Gulshan Carsten Rother Antonio Criminisi Andrew Blake and Andrew Zisserman Dept

Geodesic Star Convexity for Interactive Image Segmentation Varun Gulshan Carsten Rother Antonio Criminisi Andrew Blake and Andrew Zisserman Dept

  • marina-yarberry
  • 8 Slides

of Engineering Science University of Oxford UK va...

SE IGGRAPH C OURSE N OTES HYSICALLY B ASED M ODELING Implicit Methods how to not blow up Implicit Methods how to not blow up David Baraff Andrew Witkin Robotics Institute David Baraff Andrew Witkin

SE IGGRAPH C OURSE N OTES HYSICALLY B ASED M ODELING Implicit Methods how to not blow up Implicit Methods how to not blow up David Baraff Andrew Witkin Robotics Institute David Baraff Andrew Witkin

  • sherrill-nordquist
  • 13 Slides

It isnt pretty Sometimes you have to make the ste...

Comparison of Different Motor Design Drives for Hyb rid Electric Vehicles David G

Comparison of Different Motor Design Drives for Hyb rid Electric Vehicles David G

  • olivia-moreira
  • 8 Slides

Dorrell Andrew M Knight Senior Member Senior Memb...

Learning Depth from Single Monocular Images Ashutosh Saxena Sung H

Learning Depth from Single Monocular Images Ashutosh Saxena Sung H

  • conchita-marotz
  • 8 Slides

Chung and Andrew Y Ng Computer Science Department...

Timechanged Linear Quadratic Regulators Andrew Lamperski and Noah J

Timechanged Linear Quadratic Regulators Andrew Lamperski and Noah J

  • faustina-dinatale
  • 6 Slides

Cowan Abstract Many control methods implicitly d...

Hard Drive Power Consumption Uncovered Computer Laboratory Digital Technology Group Anthony Hylick Andrew Rice Brian Jones Ripduman Sohan Motivation Attempts to reduce power consumption have mainly f

Hard Drive Power Consumption Uncovered Computer Laboratory Digital Technology Group Anthony Hylick Andrew Rice Brian Jones Ripduman Sohan Motivation Attempts to reduce power consumption have mainly f

  • cheryl-pisano
  • 1 Slides

This ap proach is based on the assumption that th...

IEEE TRANSACTIONS OF PATTERN ANALYSIS AND MACHINE INTELLIGENCE MultiScale Categorical Object Recognition Using Contour Fragments Jamie Shotton Andrew Blake Roberto Cipolla Abstract Psychophysical s

IEEE TRANSACTIONS OF PATTERN ANALYSIS AND MACHINE INTELLIGENCE MultiScale Categorical Object Recognition Using Contour Fragments Jamie Shotton Andrew Blake Roberto Cipolla Abstract Psychophysical s

  • natalia-silvester
  • 15 Slides

This paper proposes a new automatic visual recogn...

Normalization of Power Spectral Density estimates

Normalization of Power Spectral Density estimates

  • lois-ondreau
  • 14 Slides

Andrew J Barbour and Robert L Parker April 15 201...

A Rational Function Lens Distortion Model for General Cameras David Claus and Andrew W

A Rational Function Lens Distortion Model for General Cameras David Claus and Andrew W

  • calandra-battersby
  • 7 Slides

Fitzgibbon Department of Engineering Science Univ...

SemiSupervised Recursive Autoencoders for Predicting Sentiment Distributions Richard Socher Jeffrey Pennington Eric H

SemiSupervised Recursive Autoencoders for Predicting Sentiment Distributions Richard Socher Jeffrey Pennington Eric H

  • min-jolicoeur
  • 11 Slides

Huang Andrew Y Ng Christopher D Manning Computer ...

A Lowcost Compliant DOF Robotic Manipulator Morgan Quigley Alan Asbeck and Andrew Y

A Lowcost Compliant DOF Robotic Manipulator Morgan Quigley Alan Asbeck and Andrew Y

  • lois-ondreau
  • 8 Slides

Ng Abstract We present the design of a new lowco...

SIGN DETECTION IN NA TU RAL IM GES WITH CONDITIONAL RANDOM FIELDS Jero einman Allen Hanson and Andrew McCallum weinmanhansonmccallumcs

SIGN DETECTION IN NA TU RAL IM GES WITH CONDITIONAL RANDOM FIELDS Jero einman Allen Hanson and Andrew McCallum weinmanhansonmccallumcs

  • yoshiko-marsland
  • 10 Slides

Departmen of Computer Science Univ ersit of Massa...

Why HighOrder Polynomials Should Not be Used in Regression Discontinuity Designs Andrew Gelman Guido Imbens Aug Abstract It is common in regression discontinuity analysis to control for high order

Why HighOrder Polynomials Should Not be Used in Regression Discontinuity Designs Andrew Gelman Guido Imbens Aug Abstract It is common in regression discontinuity analysis to control for high order

  • trish-goza
  • 12 Slides

We argue that estimators for causal e64256ects ba...

Electromagnetism Laws and Equations Andrew McHutchon Michaelmas Contents Electrostatics

Electromagnetism Laws and Equations Andrew McHutchon Michaelmas Contents Electrostatics

  • ellena-manuel
  • 13 Slides

1 Electric and 64257elds ...

Learning Word Vectors for Sentiment Analysis Andrew L

Learning Word Vectors for Sentiment Analysis Andrew L

  • alexa-scheidler
  • 9 Slides

Maas Raymond E Daly Peter T Pham Dan Huang Andrew...

AdjacencyF aithfulness and Conserv ativ Causal Inference Joseph Ramsey eter Spirtes Departmen of Philosoph Carnegie Mellon Univ ersit Pittsburgh jdramsey psz andrew

AdjacencyF aithfulness and Conserv ativ Causal Inference Joseph Ramsey eter Spirtes Departmen of Philosoph Carnegie Mellon Univ ersit Pittsburgh jdramsey psz andrew

  • pasty-toler
  • 8 Slides

cmu e du Jiji Zhang Division of Humanities and So ...

Descriptor Learning for Ecient Retrieval James Philbin MichaelIsard JosefSivic and Andrew Zisserman Visual Geometry Group Department of Engineering Science University of Oxford INRIA WILLOW Laborato

Descriptor Learning for Ecient Retrieval James Philbin MichaelIsard JosefSivic and Andrew Zisserman Visual Geometry Group Department of Engineering Science University of Oxford INRIA WILLOW Laborato

  • alida-meadow
  • 15 Slides

Many visual search and matching systems represent...

Coq The worlds best macro assembler Andrew Kennedy Nick Benton Microsoft Research akennnick microsoft

Coq The worlds best macro assembler Andrew Kennedy Nick Benton Microsoft Research akennnick microsoft

  • celsa-spraggs
  • 12 Slides

com Jonas B Jensen ITU Copenhagen jobritudk Pierre...

A VoiceCommandable Robotic Forklift Working Alongside Humans in MinimallyPrepared Outdoor Environments Seth Teller Matthew R

A VoiceCommandable Robotic Forklift Working Alongside Humans in MinimallyPrepared Outdoor Environments Seth Teller Matthew R

  • lindy-dunigan
  • 8 Slides

Walter Matthew Antone Andrew Correa Randall Davis...

Analysis of variance Andrew Gelman March Abstract Analysis of variance ANOVA is a statistical procedure for summarizing a classi cal linear modela decomposition of sum of squares into a component f

Analysis of variance Andrew Gelman March Abstract Analysis of variance ANOVA is a statistical procedure for summarizing a classi cal linear modela decomposition of sum of squares into a component f

  • tawny-fly
  • 7 Slides

When applied to generalized l inear models multil...

Copyright © 2024 DocSlides. All Rights Reserved