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Topic Carnegie published presentations and documents on DocSlides.

Topic relevant selected content from the highest rated entries typeset printed and shipped

Topic relevant selected content from the highest rated entries typeset printed and shipped

  • tatyana-admore
  • 9 Slides

Combine the advantages of uptodate and indepth kn...

Example Lesson from English as a Second Language Lesson Topic The topic of the lesson is Planning Weekend Activities Lesson Goals Linguistic content Using going to not going to to describe future ac

Example Lesson from English as a Second Language Lesson Topic The topic of the lesson is Planning Weekend Activities Lesson Goals Linguistic content Using going to not going to to describe future ac

  • marina-yarberry
  • 2 Slides

Discuss native speaker pronunciation gonna Stress...

Testing Juntas Nearly Optimally Eric Blais Carnegie Mellon University School of Computer Science Pittsburgh PA eblaiscs

Testing Juntas Nearly Optimally Eric Blais Carnegie Mellon University School of Computer Science Pittsburgh PA eblaiscs

  • myesha-ticknor
  • 7 Slides

cmuedu ABSTRACT A function on variables is called ...

TIE Principled Reverse Engineering of Types in Binary Programs JongHyup Lee Thanassis Avgerinos and David Brumley Carnegie Mellon University jonglee thanassis dbrumley cmu

TIE Principled Reverse Engineering of Types in Binary Programs JongHyup Lee Thanassis Avgerinos and David Brumley Carnegie Mellon University jonglee thanassis dbrumley cmu

  • conchita-marotz
  • 18 Slides

edu Abstract A recurring problem in security is re...

Shake Library offers a wide choice of resources for locating information on any topic

Shake Library offers a wide choice of resources for locating information on any topic

  • mitsue-stanley
  • 2 Slides

These resources include traditional print materia...

Ensemble of ExemplarSVMs for Object Detection and Beyond Tomasz Malisiewicz Carnegie Mellon University Abhinav Gupta Carnegie Mellon University Alexei A

Ensemble of ExemplarSVMs for Object Detection and Beyond Tomasz Malisiewicz Carnegie Mellon University Abhinav Gupta Carnegie Mellon University Alexei A

  • lindy-dunigan
  • 8 Slides

Efros Carnegie Mellon University Abstract This pa...

Testim ony to the National Mathem atics Panel Steven Ritter Carnegie Learning Inc

Testim ony to the National Mathem atics Panel Steven Ritter Carnegie Learning Inc

  • olivia-moreira
  • 10 Slides

John Anderson Carnegie M llon Unive sity Nove er ...

topicmodels An Package for Fitting Topic Models Bettina Gr un Johannes Kepler Universit at Linz Kurt Hornik WU Wirtschaftsuniversit at Wien Abstract This article is a slightly modied and shortened v

topicmodels An Package for Fitting Topic Models Bettina Gr un Johannes Kepler Universit at Linz Kurt Hornik WU Wirtschaftsuniversit at Wien Abstract This article is a slightly modied and shortened v

  • natalia-silvester
  • 20 Slides

The 64257tted model can be used to estimate the s...

Reverse Topk Search using Random Walk with Restart Adams Wei Yu Nikos Mamoulis Hao Su School of Computer Science Carnegie Mellon University Department of Computer Science The University of Hong Ko

Reverse Topk Search using Random Walk with Restart Adams Wei Yu Nikos Mamoulis Hao Su School of Computer Science Carnegie Mellon University Department of Computer Science The University of Hong Ko

  • trish-goza
  • 12 Slides

cmuedu nikoscshkuhk haosucsstanfordedu ABSTRACT Wi...

Fast Random Walk with Restart and Its Applications Hanghang Tong Carnegie Mellon University htongcs

Fast Random Walk with Restart and Its Applications Hanghang Tong Carnegie Mellon University htongcs

  • faustina-dinatale
  • 10 Slides

cmuedu Christos Faloutsos Carnegie Mellon Universi...

A RealTime Algorithm for Mobile Robot Mapping With Applications to MultiRobot and D Mapping Sebastian Thrun Wolfram Burgard Dieter Fox Computer Science Department Computer Science Department Carnegie

A RealTime Algorithm for Mobile Robot Mapping With Applications to MultiRobot and D Mapping Sebastian Thrun Wolfram Burgard Dieter Fox Computer Science Department Computer Science Department Carnegie

  • olivia-moreira
  • 8 Slides

The approach uses a fast implementation of scanma...

Map Building with Mobile Robots in Dynamic Environments Dirk H ahnel Rudolph Triebel Wolfram Burgard Sebastian Thrun University of Freiburg Department of Computer Science Germany Carnegie Mellon Univ

Map Building with Mobile Robots in Dynamic Environments Dirk H ahnel Rudolph Triebel Wolfram Burgard Sebastian Thrun University of Freiburg Department of Computer Science Germany Carnegie Mellon Univ

  • jane-oiler
  • 7 Slides

Most of the techniques developed so far have been...

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...

RO BOT Boolean Logic Carnegie Mellon Robotics Academy For use with LEGO MINDSTORMS Education NXT software and base set Reference Boolean Logic Conditions ROBOTC control structures that make decisi

RO BOT Boolean Logic Carnegie Mellon Robotics Academy For use with LEGO MINDSTORMS Education NXT software and base set Reference Boolean Logic Conditions ROBOTC control structures that make decisi

  • kittie-lecroy
  • 3 Slides

ROBOTC conditions are always Boolean statements T...

GoodEnough Brain Model Challenges Algorithms and Discoveries in MultiSubject Experiments Evangelos E

GoodEnough Brain Model Challenges Algorithms and Discoveries in MultiSubject Experiments Evangelos E

  • tawny-fly
  • 10 Slides

Papalexakis Carnegie Mellon University epapalexcs...

Topic The CathodeRay Tube Lets look at how the concept of potential is applied to an important class of devices called cathoderay tubes or CRTs for short

Topic The CathodeRay Tube Lets look at how the concept of potential is applied to an important class of devices called cathoderay tubes or CRTs for short

  • marina-yarberry
  • 3 Slides

Cathoderay tubes are found in oscilloscopes and s...

Revisiting Fletcher and Adler Checksums Theresa Maxino Carnegie Mellon University Pittsburgh PA maxinocmu

Revisiting Fletcher and Adler Checksums Theresa Maxino Carnegie Mellon University Pittsburgh PA maxinocmu

  • ellena-manuel
  • 3 Slides

edu Abstract Checksums are routinely used to detec...

PESTICIDE FORMULATIONS TOPIC FACT SHEET What are pesticide formulations A pesticide formulation is a mixture of chemicals which effectively controls a pest

PESTICIDE FORMULATIONS TOPIC FACT SHEET What are pesticide formulations A pesticide formulation is a mixture of chemicals which effectively controls a pest

  • myesha-ticknor
  • 3 Slides

Formulating a pesticide involves processing it to...

Large Human Communication Networks Patterns and a UtilityDriven Generator Nan Du Christos Faloutsos Bai Wang Leman Akoglu Carnegie Mellon University Beijing University of Posts and Telecommunications

Large Human Communication Networks Patterns and a UtilityDriven Generator Nan Du Christos Faloutsos Bai Wang Leman Akoglu Carnegie Mellon University Beijing University of Posts and Telecommunications

  • tatiana-dople
  • 9 Slides

cmuedu wangbaibupteducn ABSTRACT Given a real and ...

Online Convex Programming and Generalized Innitesimal Gradient Ascent Martin Zinkevich mazcs

Online Convex Programming and Generalized Innitesimal Gradient Ascent Martin Zinkevich mazcs

  • celsa-spraggs
  • 8 Slides

cmuedu Carnegie Mellon University 5000 Forbes Aven...

ErrorCorrecting Output Co ding for ext Classication Adam Berger Sc ho ol of Computer Science Carnegie Mellon Univ ersit Pittsburgh abergercs

ErrorCorrecting Output Co ding for ext Classication Adam Berger Sc ho ol of Computer Science Carnegie Mellon Univ ersit Pittsburgh abergercs

  • tatiana-dople
  • 8 Slides

cmuedu Abstract This pap er applies errorcorrectin...

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...

Control Flow Analysis in Scheme Olin Shivers Carnegie Mellon University shiverscs

Control Flow Analysis in Scheme Olin Shivers Carnegie Mellon University shiverscs

  • test
  • 11 Slides

emu edu Abstract Traditional flow analysis techni...

An Experimental Study of Data Retention Behavior in Modern DRAM Devices Implications for Retention Time Proling Mechanisms Jamie Liu Carnegie Mellon University Forbes Ave

An Experimental Study of Data Retention Behavior in Modern DRAM Devices Implications for Retention Time Proling Mechanisms Jamie Liu Carnegie Mellon University Forbes Ave

  • jane-oiler
  • 12 Slides

Pittsburgh PA 15213 jamielalumnicmuedu Ben Jaiyen...

Property Testing Lower Bounds Via Communication Complexity Eric Blais Computer Science Department Carnegie Mellon University Pittsburgh PA eblaiscs

Property Testing Lower Bounds Via Communication Complexity Eric Blais Computer Science Department Carnegie Mellon University Pittsburgh PA eblaiscs

  • tatiana-dople
  • 11 Slides

cmuedu Joshua Brody IIIS ITCS Tsinghua University ...

Adaptive Fuzzy Throttle Control for an All Terrain Vehicle Ashitey TrebiOllennu and John M

Adaptive Fuzzy Throttle Control for an All Terrain Vehicle Ashitey TrebiOllennu and John M

  • luanne-stotts
  • 16 Slides

Dolan Carnegie Mellon University Institute for Co...

Differentially Private MEstimators Lei Jing Department of Statistics Carnegie Mellon University Pittsburgh PA jingleiandrew

Differentially Private MEstimators Lei Jing Department of Statistics Carnegie Mellon University Pittsburgh PA jingleiandrew

  • cheryl-pisano
  • 9 Slides

cmuedu Abstract This paper studies privacy preserv...

Hierarchical Topic Models and the Nested Chinese Restaurant Process David M

Hierarchical Topic Models and the Nested Chinese Restaurant Process David M

  • debby-jeon
  • 8 Slides

Blei Thomas L Grif64257ths bleicsberkeleyedu gruf...

Datadriven Visual Similarity for Crossdomain Image Matching Abhinav Shrivastava Carnegie Mellon University Tomasz Malisiewicz MIT Abhinav Gupta Carnegie Mellon University Alexei A

Datadriven Visual Similarity for Crossdomain Image Matching Abhinav Shrivastava Carnegie Mellon University Tomasz Malisiewicz MIT Abhinav Gupta Carnegie Mellon University Alexei A

  • mitsue-stanley
  • 9 Slides

Efros Carnegie Mellon University Figure 1 In this...

Deformable Graph Matching Feng Zhou Fernando De la Torre Robotics Institute Carnegie Mellon University Pittsburgh PA httpwww

Deformable Graph Matching Feng Zhou Fernando De la Torre Robotics Institute Carnegie Mellon University Pittsburgh PA httpwww

  • stefany-barnette
  • 8 Slides

fzhoucom ftorrecscmuedu Abstract Graph matching GM...

Chapte INTEGE PROGRAMMIN G Rober Bosc h Oberlin College Oberlin OH USA Michae Tric k Carnegie Mellon University Pittsburgh PA USA

Chapte INTEGE PROGRAMMIN G Rober Bosc h Oberlin College Oberlin OH USA Michae Tric k Carnegie Mellon University Pittsburgh PA USA

  • yoshiko-marsland
  • 27 Slides

INTRODUCTIO N Ove th las 2 years th combinatio o ...

MA Formal Languages and Automata Theory Topic Properties of Contextfree Languages Lecture Number Date October Greibach Normal Form GNF A CFG V T R S is said to be in GNF if every production is

MA Formal Languages and Automata Theory Topic Properties of Contextfree Languages Lecture Number Date October Greibach Normal Form GNF A CFG V T R S is said to be in GNF if every production is

  • briana-ranney
  • 3 Slides

e is a string of zero or more variables De64257nit...

Understanding the Limiting Factors of Topic Modeling via Posterior Contraction Analysis Jian Tang TANGJIAN NET PKU EDU CN Zhaoshi Meng MENGZS UMICH EDU XuanLong Nguyen XUANLONG UMICH EDU Qiaozhu Mei

Understanding the Limiting Factors of Topic Modeling via Posterior Contraction Analysis Jian Tang TANGJIAN NET PKU EDU CN Zhaoshi Meng MENGZS UMICH EDU XuanLong Nguyen XUANLONG UMICH EDU Qiaozhu Mei

  • natalia-silvester
  • 9 Slides

They have been applied to a vast variety of data ...

RO BOT Reference Thresholds Carnegie Mellon Robotics Academy For use with LEGO MINDSTORMS Education NXT software and base set If you look at this image it shows an NXT using an Ultrasonic sensor

RO BOT Reference Thresholds Carnegie Mellon Robotics Academy For use with LEGO MINDSTORMS Education NXT software and base set If you look at this image it shows an NXT using an Ultrasonic sensor

  • natalia-silvester
  • 1 Slides

The threshold in this case is 25cm We can create ...

Articial Intelligence Topic Sequential Decision Problems Introduction to sequential decision problems Value iteration Policy iteration Longevity in agents Reading Russell and Norvig Chapter Section

Articial Intelligence Topic Sequential Decision Problems Introduction to sequential decision problems Value iteration Policy iteration Longevity in agents Reading Russell and Norvig Chapter Section

  • lois-ondreau
  • 19 Slides

Includes material S Russell P Norvig 19952003 wi...

Monte Carlo Localization Efcient Position Estimation for Mobile Robots Dieter Fox Wolfram Burgard Frank Dellaert Sebastian Thrun School of Computer Science Computer Science Department III Carnegie M

Monte Carlo Localization Efcient Position Estimation for Mobile Robots Dieter Fox Wolfram Burgard Frank Dellaert Sebastian Thrun School of Computer Science Computer Science Department III Carnegie M

  • conchita-marotz
  • 7 Slides

MCL is a version of Markov localization a family ...

Putting Objects in Perspective Derek Hoiem Alexei A

Putting Objects in Perspective Derek Hoiem Alexei A

  • olivia-moreira
  • 8 Slides

Efros Martial Hebert Carnegie Mellon University R...

How to determine a good multiprogramming level for externa l scheduling Bianca Schroeder Mor HarcholBalter Carnegie Mellon University Department of Computer Science Pittsburgh PA USA bianca harchol a

How to determine a good multiprogramming level for externa l scheduling Bianca Schroeder Mor HarcholBalter Carnegie Mellon University Department of Computer Science Pittsburgh PA USA bianca harchol a

  • test
  • 12 Slides

cmuedu Arun Iyengar Erich Nahum Adam Wierman IBM T...

FUNDAMENTAL TONES OVERTONES The topic of sound quality has proven to be a difficult one for students to grasp

FUNDAMENTAL TONES OVERTONES The topic of sound quality has proven to be a difficult one for students to grasp

  • pasty-toler
  • 8 Slides

Because we cant see waves we have to hold togethe...

A Guide to Heuristicbased Path Planning Dave Ferguson Maxim Likhachev and Anthony Stentz School of Computer Science Carnegie Mellon University Pittsburgh PA USA Abstract We describe a family of recen

A Guide to Heuristicbased Path Planning Dave Ferguson Maxim Likhachev and Anthony Stentz School of Computer Science Carnegie Mellon University Pittsburgh PA USA Abstract We describe a family of recen

  • min-jolicoeur
  • 10 Slides

We discuss the fundamental similarities between s...

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