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MARCH AMERICAN METEOROLOGICAL SOCIETY R EICHLER AND K IM Department of Meteorology University of Utah Salt Lake City Utah Thomas Reichler Department of Meteorology University of Utah S E Rm WB

MARCH AMERICAN METEOROLOGICAL SOCIETY R EICHLER AND K IM Department of Meteorology University of Utah Salt Lake City Utah Thomas Reichler Department of Meteorology University of Utah S E Rm WB

  • natalia-silvester
  • 9 Slides

reichlerutahedu DOI101175BAMS893303 575132008 Amer...

Modeling Human Location Data with Mixtures of Kernel Densities Moshe Lichman Department of Computer Science University of California Irvine mlichmanics

Modeling Human Location Data with Mixtures of Kernel Densities Moshe Lichman Department of Computer Science University of California Irvine mlichmanics

  • kittie-lecroy
  • 10 Slides

uciedu Padhraic Smyth Department of Computer Scien...

KRLE A new Data Compression Algorithm for Wireless Sensor Network Eug ene Pamba CapoChichi Herv e Guyennet Laboratory of Computer Science LIFC University of Franche Comt Besancon France mpamba herv

KRLE A new Data Compression Algorithm for Wireless Sensor Network Eug ene Pamba CapoChichi Herv e Guyennet Laboratory of Computer Science LIFC University of Franche Comt Besancon France mpamba herv

  • olivia-moreira
  • 6 Slides

guyennet lifcunivfcomtefr JeanMichel Friedt FEMTOS...

Spatial Inference Machines Roman Shapovalov Dmitry Vetrov Lomonosov Moscow State University httpbayesgroup

Spatial Inference Machines Roman Shapovalov Dmitry Vetrov Lomonosov Moscow State University httpbayesgroup

  • giovanna-bartolotta
  • 8 Slides

ru Pushmeet Kohli Microsoft Research Cambridge htt...

Patterns in Property Specifications for FiniteState Verification Matthew B

Patterns in Property Specifications for FiniteState Verification Matthew B

  • alexa-scheidler
  • 10 Slides

Dwyer Kansas State University Department of Compu...

Discontinuous Galerkin Solution of the NavierStokes Equations on Deformable Domains PerOlof Persson and Jaime Peraire Massachusetts Institute of Technology Cambridge MA U

Discontinuous Galerkin Solution of the NavierStokes Equations on Deformable Domains PerOlof Persson and Jaime Peraire Massachusetts Institute of Technology Cambridge MA U

  • myesha-ticknor
  • 13 Slides

SA Javier Bonet University of Wales Swansea Swanse...

Earthquake Shakes Twitter Users Realtime Event Detection by Social Sensors Takeshi Sakaki The University of Tokyo Yayoi Bunkyoku Tokyo Japan sakakibizmodel

Earthquake Shakes Twitter Users Realtime Event Detection by Social Sensors Takeshi Sakaki The University of Tokyo Yayoi Bunkyoku Tokyo Japan sakakibizmodel

  • stefany-barnette
  • 10 Slides

tu tokyoacjp Makoto Okazaki The University of Toky...

Fisher Linear Discriminant Analysis Max Welling Department of Computer Science University of Toronto Kings College Road Toronto MS G Canada wellingcs

Fisher Linear Discriminant Analysis Max Welling Department of Computer Science University of Toronto Kings College Road Toronto MS G Canada wellingcs

  • lois-ondreau
  • 4 Slides

torontoedu Abstract This is a note to explain Fish...

Rosenberg Alexander The Structure of Biological Science

Rosenberg Alexander The Structure of Biological Science

  • yoshiko-marsland
  • 12 Slides

Cambridge Cambridge University Press 1993 Scient...

Computers Graphics Chaos and graphics Universal aesthetic of fractals Branka Spehar a Colin WG Clifford Ben R ewell Richard Taylor School of Psychology University of New South Wales Sydney New So

Computers Graphics Chaos and graphics Universal aesthetic of fractals Branka Spehar a Colin WG Clifford Ben R ewell Richard Taylor School of Psychology University of New South Wales Sydney New So

  • stefany-barnette
  • 8 Slides

andelbrot The ractal Geometry of ature reeman ew Y...

Cognitively Inspired and Perceptually Salient Graphic Displays for Efcient Spatial Inference Making Sara Irina Fabrikant Stacy Rebich Hespanha and Mary Hegarty Department of Geography University of Z

Cognitively Inspired and Perceptually Salient Graphic Displays for Efcient Spatial Inference Making Sara Irina Fabrikant Stacy Rebich Hespanha and Mary Hegarty Department of Geography University of Z

  • olivia-moreira
  • 17 Slides

Cartographers employ a set of visual variables eg...

EXTRACTING FLEXIBILITY MATRICES FROM STATESPACE REALIZATIONS Dionisio Bernal Associate Professor Department of Civil and Environmental Engineering Snell Engineering Center Northeastern University Bo

EXTRACTING FLEXIBILITY MATRICES FROM STATESPACE REALIZATIONS Dionisio Bernal Associate Professor Department of Civil and Environmental Engineering Snell Engineering Center Northeastern University Bo

  • calandra-battersby
  • 9 Slides

SA SUMMARY Robust algorithms to construct minimum...

A graphtheoretic model of lexical syntactic acquisition Hinrich Sch utze and Michael Walsh Institute for Natural Language Processing University of Stuttgart Germany hswalsh ifnlp

A graphtheoretic model of lexical syntactic acquisition Hinrich Sch utze and Michael Walsh Institute for Natural Language Processing University of Stuttgart Germany hswalsh ifnlp

  • cheryl-pisano
  • 10 Slides

org Abstract This paper presents a graphtheoretic ...

Efciently Matching Sets of Features with Random Histograms Wei Dong Zhe Wang Moses Charikar Kai Li Department of Computer Science Princeton University Olden Street Princeton NJ USA wdongzhewangmose

Efciently Matching Sets of Features with Random Histograms Wei Dong Zhe Wang Moses Charikar Kai Li Department of Computer Science Princeton University Olden Street Princeton NJ USA wdongzhewangmose

  • alida-meadow
  • 10 Slides

princetonedu ABSTRACT As the commonly used represe...

TwoFrame Motion Estimation Based on Polynomial Expansion Gunnar Farneb ack Computer Vision Laboratory Link oping University SE Link oping Sweden gfisy

TwoFrame Motion Estimation Based on Polynomial Expansion Gunnar Farneb ack Computer Vision Laboratory Link oping University SE Link oping Sweden gfisy

  • pasty-toler
  • 8 Slides

liuse httpwwwisyliusecvl Abstract This paper prese...

Robotic Mapping A Survey Sebastian Thrun February CMUCS School of Computer Science Carnegie Mellon University Pittsburgh PA Abstract This article provides a comprehensive introduction into the eld

Robotic Mapping A Survey Sebastian Thrun February CMUCS School of Computer Science Carnegie Mellon University Pittsburgh PA Abstract This article provides a comprehensive introduction into the eld

  • olivia-moreira
  • 31 Slides

It describes and compares various probabilistic t...

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...

Memory Interleaving Norman Matloff Department of Computer Science University of California at Davis November N

Memory Interleaving Norman Matloff Department of Computer Science University of California at Davis November N

  • test
  • 6 Slides

S Matloff 1 Introduction With large memories many ...

Network Virtualization Isolation Problems and Scalability Issues Daniel Schlosser Michael Jarschel schlossermichael

Network Virtualization Isolation Problems and Scalability Issues Daniel Schlosser Michael Jarschel schlossermichael

  • trish-goza
  • 2 Slides

jarschelinformatikuniwuerzburgde University of Wur...

Largescale Multilabel Learning with Missing Labels HsiangFu Yu ROFUYU CS UTEXAS EDU Department of Computer Science University of Texas at Austin Prateek Jain PRAJAIN MICROSOFT COM Purushottam Kar PUR

Largescale Multilabel Learning with Missing Labels HsiangFu Yu ROFUYU CS UTEXAS EDU Department of Computer Science University of Texas at Austin Prateek Jain PRAJAIN MICROSOFT COM Purushottam Kar PUR

  • luanne-stotts
  • 9 Slides

Dhillon INDERJIT CS UTEXAS EDU Department of Comp...

Large deviations weak convergence and relative entropy Markus Fischer University of Padua Revised June Introduction Rare event probabilities and large deviations basic example and denition in Sect

Large deviations weak convergence and relative entropy Markus Fischer University of Padua Revised June Introduction Rare event probabilities and large deviations basic example and denition in Sect

  • natalia-silvester
  • 23 Slides

Essential tools for large deviations analysis wea...

Issues Regarding Threshold Concepts in Computer Science Janet Rountree Nathan Rountree Department of Computer Science University of Otago Dunedin New Zealand Email janetnathan cs

Issues Regarding Threshold Concepts in Computer Science Janet Rountree Nathan Rountree Department of Computer Science University of Otago Dunedin New Zealand Email janetnathan cs

  • luanne-stotts
  • 8 Slides

otagoacnz Abstract Threshold Concepts deserve disc...

Bringing Gesture Recognition To All Devices Bryce Kellogg Vamsi Talla and Shyamnath Gollakota University of Washington Coprimary Student Authors Abstract Existing gesturerecognition systems consume

Bringing Gesture Recognition To All Devices Bryce Kellogg Vamsi Talla and Shyamnath Gollakota University of Washington Coprimary Student Authors Abstract Existing gesturerecognition systems consume

  • alexa-scheidler
  • 14 Slides

We introduce AllSee the 64257rst gesturerecogniti...

depmixS An Package for Hidden Markov Models Ingmar Visser University of Amsterdam Maarten Speekenbrink University College London Abstract This introduction to the package depmixS is a slightly modie

depmixS An Package for Hidden Markov Models Ingmar Visser University of Amsterdam Maarten Speekenbrink University College London Abstract This introduction to the package depmixS is a slightly modie

  • lindy-dunigan
  • 21 Slides

Please refer to that article when using depmixS4 ...

BHARATHIAR UNIVERSITY COIMBATORE COURSE ANNUAL PATTERN CANDI DATE ADMITTED FROM THE ACADEMIC YEAR ONWARDS YEAR DATE DAY SESS TITLE OF THE PAPER SUB CODE Q

BHARATHIAR UNIVERSITY COIMBATORE COURSE ANNUAL PATTERN CANDI DATE ADMITTED FROM THE ACADEMIC YEAR ONWARDS YEAR DATE DAY SESS TITLE OF THE PAPER SUB CODE Q

  • tawny-fly
  • 24 Slides

P CODE BATCH 101214 WED FN BRITISH LITERATURE I Fr...

CONTENTION CONTROL IN MULTIACCESS RESOURCE SYSTEMS Gertrude Levine Fairleigh Dickinson University levinefdu

CONTENTION CONTROL IN MULTIACCESS RESOURCE SYSTEMS Gertrude Levine Fairleigh Dickinson University levinefdu

  • stefany-barnette
  • 11 Slides

edu ABSTRACT All wireless communications including...

Statistica Sinica MULTIVARIATECUMULATIVESUMCONTROLCHARTS BASEDONPROJECTIONPURSUIT HungMan Ngai and Jian Zhang University of British Columbia Academia Sinica Beijing and Universite Catholique de Lo

Statistica Sinica MULTIVARIATECUMULATIVESUMCONTROLCHARTS BASEDONPROJECTIONPURSUIT HungMan Ngai and Jian Zhang University of British Columbia Academia Sinica Beijing and Universite Catholique de Lo

  • yoshiko-marsland
  • 20 Slides

A modi64257cation is given for improving its perf...

Deerwood Drive Waco Texas Professional Employment Professor Department of Political Science Baylor University Waco Texas present Chair Graduate Program Director Associate Graduate Director

Deerwood Drive Waco Texas Professional Employment Professor Department of Political Science Baylor University Waco Texas present Chair Graduate Program Director Associate Graduate Director

  • yoshiko-marsland
  • 14 Slides

Johns College Annapolis Maryland 1977 78 Assistan...

Bayesian Nonparametric Models Peter Orbanz Cambridge University Yee Whye Teh University College London Related keywords Bayesian Methods Prior Probabilities Dirichlet Process Gaussian Processes

Bayesian Nonparametric Models Peter Orbanz Cambridge University Yee Whye Teh University College London Related keywords Bayesian Methods Prior Probabilities Dirichlet Process Gaussian Processes

  • natalia-silvester
  • 14 Slides

De64257nition A Bayesian nonparametric model is a...

Secrets of Optical Flow Estimation and Their Principles Deqing Sun Brown University Stefan Roth TU Darmstadt Michael J

Secrets of Optical Flow Estimation and Their Principles Deqing Sun Brown University Stefan Roth TU Darmstadt Michael J

  • marina-yarberry
  • 8 Slides

Black Brown University Abstract The accuracy of o...

Evaluation of a deepwater wave breaking criterion Zhigang Tian Marc Perlin and Wooyoung Choi Naval Architecture and Marine Engineering University of Michigan Ann Arbor Michigan USA Department of Mat

Evaluation of a deepwater wave breaking criterion Zhigang Tian Marc Perlin and Wooyoung Choi Naval Architecture and Marine Engineering University of Michigan Ann Arbor Michigan USA Department of Mat

  • danika-pritchard
  • 13 Slides

Phys Oceanogr 32 2541 2002 who suggested a thres...

The Quest to Replace Passwords A Framework for Comparative Evaluation of Web Authentication Schemes Joseph Bonneau University of Cambridge Cambridge UK jcbcl

The Quest to Replace Passwords A Framework for Comparative Evaluation of Web Authentication Schemes Joseph Bonneau University of Cambridge Cambridge UK jcbcl

  • jane-oiler
  • 15 Slides

camacuk Cormac Herley Microsoft Research Redmond W...

INTERNAL ASSIGNMENT SUBMISSONS FOR SMUDE In EduNxt Contents IA Submission to University Process Manual

INTERNAL ASSIGNMENT SUBMISSONS FOR SMUDE In EduNxt Contents IA Submission to University Process Manual

  • sherrill-nordquist
  • 10 Slides

3 Instructions for uploading internal assignments...

EECS Digital Signal Processing University of Californi a Berkeley Fall Gastpar November The Power Density Spectrum Preliminary version please report errors typos and sugg estions for improvement

EECS Digital Signal Processing University of Californi a Berkeley Fall Gastpar November The Power Density Spectrum Preliminary version please report errors typos and sugg estions for improvement

  • liane-varnes
  • 4 Slides

On a second reading if you are interested you may...

The problem of teaching objectoriented programming Part II Environments Michael Klling School of Computer Science and Software Engineering Monash University mikcsse

The problem of teaching objectoriented programming Part II Environments Michael Klling School of Computer Science and Software Engineering Monash University mikcsse

  • alida-meadow
  • 12 Slides

monasheduau INTRODUCTION In last months edition of...

Appendix D University of Hull D Appendix D Digital Modulation and GMSK A brief introduction to digital modulation schemes is given showing the logical development of GMSK from simpler schemes

Appendix D University of Hull D Appendix D Digital Modulation and GMSK A brief introduction to digital modulation schemes is given showing the logical development of GMSK from simpler schemes

  • phoebe-click
  • 11 Slides

GMSK is of interest since it is used in the GSM s...

AM ESHADRI Professor Materials Department and Department of Chemistry Biochemistry CoDirector Materials Research Laboratory An NSF MRSEC Address Materials Research Laboratory Room University of Cal

AM ESHADRI Professor Materials Department and Department of Chemistry Biochemistry CoDirector Materials Research Laboratory An NSF MRSEC Address Materials Research Laboratory Room University of Cal

  • sherrill-nordquist
  • 3 Slides

ucsbedu internet httpwwwmrlucsbedu seshadri Resear...

Matching Points with Rectangles and Squares Sergey Bereg Nikolaus Mutsanas and Alexander Wol Department of Computer Science University of Texas at Dallas U

Matching Points with Rectangles and Squares Sergey Bereg Nikolaus Mutsanas and Alexander Wol Department of Computer Science University of Texas at Dallas U

  • lindy-dunigan
  • 10 Slides

SA Email besputdallasedu Fakult57512at f57512ur In...

Nonlinear Model Reduction for CFD Problems Using Local Reduced Order Bases Kyle Washabaugh David Amsallem Matthew Zahr and Charbel Farhat Stanford University Stanford CA USA A model reduction fra

Nonlinear Model Reduction for CFD Problems Using Local Reduced Order Bases Kyle Washabaugh David Amsallem Matthew Zahr and Charbel Farhat Stanford University Stanford CA USA A model reduction fra

  • celsa-spraggs
  • 16 Slides

The o64260ine phase of the method builds the loca...

An Online Spectral Learning Algorithm for Partially Observable Nonlinear Dynamical Systems Byron Boots Machine Learning Department Carnegie Mellon University Pittsburgh Pennsylvania Geoffrey J

An Online Spectral Learning Algorithm for Partially Observable Nonlinear Dynamical Systems Byron Boots Machine Learning Department Carnegie Mellon University Pittsburgh Pennsylvania Geoffrey J

  • cheryl-pisano
  • 8 Slides

Gordon Machine Learning Department Carnegie Mello...

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