Search Results for 'Carnegie'

Carnegie published presentations and documents on DocSlides.

Computer Graphics Proceedings Annual Conference Series Scene Completion Using M

Computer Graphics Proceedings Annual Conference Series Scene Completion Using M

by tatiana-dople

Efros Carnegie Mellon University Original Image I...

Automatic Keywords Generation for Contextual Advertising Pengqi Liu Carnegie Mel

Automatic Keywords Generation for Contextual Advertising Pengqi Liu Carnegie Mel

by karlyn-bohler

cmuedu Javad Azimi Microsoft Inc Sunnyvale CA USA ...

SPRING CARNEGIE CORPORATION OF NEW YORK Opportunity by Design New High School Models for Student Success Opportunity by Design New High School Models for Student Success By Leah Hamilton and Anne Mac

SPRING CARNEGIE CORPORATION OF NEW YORK Opportunity by Design New High School Models for Student Success Opportunity by Design New High School Models for Student Success By Leah Hamilton and Anne Mac

by conchita-marotz

Prior to joining the Corporation she was the Exec...

Position Paper Deeply Embedded Survivability Philip Koopman Jennifer Black Theresa Maxino Carnegie Mellon University koopman jenm maxinocmu

Position Paper Deeply Embedded Survivability Philip Koopman Jennifer Black Theresa Maxino Carnegie Mellon University koopman jenm maxinocmu

by stefany-barnette

edu Abstract This position paper identifies three ...

AssumeGuarantee Reasoning for Hybrid IOAutomata by OverApproximation of Continuous Interaction Goran Frehse Zhi Han Bruce Krogh Department of Electrical and Computer Engineering Carnegie Mellon Univer

AssumeGuarantee Reasoning for Hybrid IOAutomata by OverApproximation of Continuous Interaction Goran Frehse Zhi Han Bruce Krogh Department of Electrical and Computer Engineering Carnegie Mellon Univer

by briana-ranney

cmuedu Abstract Assumeguarantee reasoning AGR is ...

AEG Automatic Exploit Generation Thanassis Avgerinos Sang Kil Cha Brent Lim Tze Hao and David Brumley Carnegie Mellon University Pittsburgh PA thanassis sangkilc brentlim dbrumley cmu

AEG Automatic Exploit Generation Thanassis Avgerinos Sang Kil Cha Brent Lim Tze Hao and David Brumley Carnegie Mellon University Pittsburgh PA thanassis sangkilc brentlim dbrumley cmu

by cheryl-pisano

edu Abstract The automatic exploit generation chal...

Student Medica l Insurance Cancellation Form University Health Services Carnegie Mellon STUDENT MEDICAL INSURANCE CANCELLATION FORM Use this form to cancel your student medical insurance

Student Medica l Insurance Cancellation Form University Health Services Carnegie Mellon STUDENT MEDICAL INSURANCE CANCELLATION FORM Use this form to cancel your student medical insurance

by debby-jeon

Please print clearly and complete all fields Ques...

SIGGRAPH Orlando July C OMPUTER RAPHICS Proceedings Annual Conference Series Large Steps in Cloth Simulation David Baraff Andrew Witkin Robotics Institute Carnegie Mellon University Abstract The bo

SIGGRAPH Orlando July C OMPUTER RAPHICS Proceedings Annual Conference Series Large Steps in Cloth Simulation David Baraff Andrew Witkin Robotics Institute Carnegie Mellon University Abstract The bo

by lindy-dunigan

This paper describes a cloth simulation system th...

Geometric Context from a Single Image Derek Hoiem Alexei A

Geometric Context from a Single Image Derek Hoiem Alexei A

by conchita-marotz

Efros Martial Hebert Carnegie Mellon University d...

Anytime Dynamic A An Anytime Replanning Algorithm Maxim Likhachev Dave Ferguson Geoff Gordon Anthony Stentz and Sebastian Thrun School of Computer Science Computer Science Department Carnegie Mell

Anytime Dynamic A An Anytime Replanning Algorithm Maxim Likhachev Dave Ferguson Geoff Gordon Anthony Stentz and Sebastian Thrun School of Computer Science Computer Science Department Carnegie Mell

by cheryl-pisano

Our algorithm tunes the quality of its solution b...

ARA Anytime A with Provable Bounds on SubOptimality Maxim Likhachev Geoff Gordon and Sebastian Thrun School of Computer Science Carnegie Mellon University Pittsburgh PA maxim ggordon thrun cs

ARA Anytime A with Provable Bounds on SubOptimality Maxim Likhachev Geoff Gordon and Sebastian Thrun School of Computer Science Carnegie Mellon University Pittsburgh PA maxim ggordon thrun cs

by test

cmuedu Abstract In real world planning problems ti...

Computer Graphics Proceedings Annual Conference Series Photo Clip Art JeanFrancois Lalonde Derek Hoiem Alexei A

Computer Graphics Proceedings Annual Conference Series Photo Clip Art JeanFrancois Lalonde Derek Hoiem Alexei A

by trish-goza

Efros Carnegie Mellon University Carsten Rother J...

Document originally produced by CERT Program at the Software Engineering Institute at Carnegie Mellon University And Cisco Systems PSIRT Revision When Who What

Document originally produced by CERT Program at the Software Engineering Institute at Carnegie Mellon University And Cisco Systems PSIRT Revision When Who What

by yoshiko-marsland

0 2006 Apr 13 Robin Ruefle CERT Program Damir Rajn...

ZeroShot Learning with Semantic Output Codes Mark Palatucci Robotics Institute Carnegie Mellon University Pittsburgh PA mpalatuccs

ZeroShot Learning with Semantic Output Codes Mark Palatucci Robotics Institute Carnegie Mellon University Pittsburgh PA mpalatuccs

by min-jolicoeur

cmuedu Dean Pomerleau Intel Labs Pittsburgh PA 152...

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

by myesha-ticknor

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

by conchita-marotz

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

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

by trish-goza

cmuedu nikoscshkuhk haosucsstanfordedu ABSTRACT Wi...

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

by olivia-moreira

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

by jane-oiler

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

by kittie-lecroy

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

by kittie-lecroy

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

by tawny-fly

Papalexakis Carnegie Mellon University epapalexcs...

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

by ellena-manuel

edu Abstract Checksums are routinely used to detec...

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

by tatiana-dople

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

by celsa-spraggs

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

by tatiana-dople

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

by celsa-spraggs

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

by test

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

by jane-oiler

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

by tatiana-dople

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

by luanne-stotts

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

by cheryl-pisano

cmuedu Abstract This paper studies privacy preserv...

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

by stefany-barnette

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

by yoshiko-marsland

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

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

by natalia-silvester

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

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

by conchita-marotz

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

by olivia-moreira

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

by test

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

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

by min-jolicoeur

We discuss the fundamental similarities between s...

Provable Subspace Clustering When LRR meets SSC YuXiang Wang School of Computer Science Carnegie Mellon University Pittsburgh PA USA yuxiangwcs

Provable Subspace Clustering When LRR meets SSC YuXiang Wang School of Computer Science Carnegie Mellon University Pittsburgh PA USA yuxiangwcs

by tatiana-dople

cmuedu Huan Xu Dept of Mech Engineering National U...