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Detecting People Using Mutually Consistent Poselet Activations Lubomir published presentations and documents on DocSlides.

Detecting Variation UNIT 03

Detecting Variation UNIT 03

  • phoebe-click
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Detecting Variation. In populations or when compa...

Detecting Creativity in Open-Ended Learning Environments

Detecting Creativity in Open-Ended Learning Environments

  • syfarect
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Roi Shillo, Nick Hoernle, Kobi Gal. Creativity isâ...

Trend Micro Incorporated Research Paper Detecting APT Activity with Network Trafc Analysis Nart Villeneuve and James Bennett PAGE II DETECT NG APT ACT TY W TH NETWORK TRAFF C ANALYS ONTENTS About

Trend Micro Incorporated Research Paper Detecting APT Activity with Network Trafc Analysis Nart Villeneuve and James Bennett PAGE II DETECT NG APT ACT TY W TH NETWORK TRAFF C ANALYS ONTENTS About

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  • 15 Slides

Introduction Detecting Remote Access Trojans Gh...

The Parrot Is dead.

The Parrot Is dead.

  • tawny-fly
  • 17 Slides

Observing Unobservable Network Communications. Am...

Short Dispersed Repeats

Short Dispersed Repeats

  • pasty-toler
  • 44 Slides

Kaleigh. , . mariam. , Michael and Nicholas . Sta...

Detecting Format String Vulnerabilities with Type QualifiersShankar, T

Detecting Format String Vulnerabilities with Type QualifiersShankar, T

  • tawny-fly
  • 3 Slides

1 ContributionsType System for detecting

Detecting Certainness in Spoken Tutorial Dialogues

Detecting Certainness in Spoken Tutorial Dialogues

  • pasty-toler
  • 29 Slides

Liscombe, Hirschberg & . Venditti. Using Syst...

Inferring Road Networks

Inferring Road Networks

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  • 35 Slides

from. . GPS . Trajectories. Radu . Mariescu. . I...

Inferring Road Networks

Inferring Road Networks

  • dollysprite
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from. . GPS . Trajectories. Radu . Mariescu. . I...

Detecting Radiation and Radiation Around You

Detecting Radiation and Radiation Around You

  • susan2
  • 14 Slides

What is radiation?. Radiation is the giving off of...

Detecting Adversarial Examples Is (Nearly) As Hard As Classifying Them

Detecting Adversarial Examples Is (Nearly) As Hard As Classifying Them

  • ariel
  • 24 Slides

Florian Tramèr. Stanford University, Google, ETHZ...

Detecting and Correcting Bit Errors

Detecting and Correcting Bit Errors

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  • 49 Slides

COS . 463. : Wireless . Networks. Lecture . 8. Kyl...

Low Noise Front-End for HEP Experiments:

Low Noise Front-End for HEP Experiments:

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  • 31 Slides

from the Brookhaven Years to the Road Ahead. In Me...

Adding Algorithm Based Fault-Tolerance to BLIS

Adding Algorithm Based Fault-Tolerance to BLIS

  • natalie
  • 48 Slides

Tyler Smith, Robert van de Geijn, Mikhail Smelyans...

Detecting AI Writing: Your Ultimate Guide

Detecting AI Writing: Your Ultimate Guide

  • StevenPaul
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Detecting AI Writing: Your Ultimate Guide

The Role of Web Hosting Providers in Detecting Compromised Websites Davide Canal

The Role of Web Hosting Providers in Detecting Compromised Websites Davide Canal

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  • 11 Slides

fr Davide Balzarotti EURECOM France balzarottieure...

Agriculture Ecosystems and Environment Contents lists available at ScienceDir

Agriculture Ecosystems and Environment Contents lists available at ScienceDir

  • sherrill-nordquist
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elseviercomlocateagee Detecting pest control servi...

Updated s AgAb Combo Information Sheet for Testing Programs s AgAb Combo Determine Combo is a rapid test capable of detecting HIV p antigen and HIV and HIV antibodies

Updated s AgAb Combo Information Sheet for Testing Programs s AgAb Combo Determine Combo is a rapid test capable of detecting HIV p antigen and HIV and HIV antibodies

  • tatiana-dople
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The p24 antigen is a part of the HIV virus and ca...

DETECTING INDIAN CLASSICAL VOCAL STYLES FROM MELODIC CONTOURS Amruta Vidwans Kaustuv Kanti Ganguli Preeti Rao Department of Electrical Engineering Indian Institute of Technology Bombay nd CompMusic W

DETECTING INDIAN CLASSICAL VOCAL STYLES FROM MELODIC CONTOURS Amruta Vidwans Kaustuv Kanti Ganguli Preeti Rao Department of Electrical Engineering Indian Institute of Technology Bombay nd CompMusic W

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Todi 40 32 80 Subhapanthuvarali 40 36 90 2 Malka...

Detecting Cheaters for Multiplayer Games Theory Design

Detecting Cheaters for Multiplayer Games Theory Design

  • tatyana-admore
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F Yeung John CS Lui Department of Computer Science...

A Study of Detecting Computer Viruses in RealInfected Files in the gram Representation with Machine Learning Methods Note this is an extended version

A Study of Detecting Computer Viruses in RealInfected Files in the gram Representation with Machine Learning Methods Note this is an extended version

  • faustina-dinatale
  • 15 Slides

The LNCS published versio n is available via spri...

Model for Detecting the Existence of Unkno wn Computer Viruses in RealTime Je rey M

Model for Detecting the Existence of Unkno wn Computer Viruses in RealTime Je rey M

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oas Reliable Soft are ec hnologies en thouse Suit...

Detecting Mobile Phone Accessories Peter Chadbourne Senior Applications Manager USB Signal Path Applications Group Fairchild Semiconductor South Portland ME INTRODUCTION The number of mobile phones s

Detecting Mobile Phone Accessories Peter Chadbourne Senior Applications Manager USB Signal Path Applications Group Fairchild Semiconductor South Portland ME INTRODUCTION The number of mobile phones s

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  • 3 Slides

Smartphones have more features and applications t...

Detecting and Measuring Similarity in Code Clones Randy Smith and Susan Horwitz Department of Computer Sciences University of Wisconsin Madison smithrhorwitz cs

Detecting and Measuring Similarity in Code Clones Randy Smith and Susan Horwitz Department of Computer Sciences University of Wisconsin Madison smithrhorwitz cs

  • trish-goza
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wiscedu Abstract Most previous work on codeclone d...

Markov Networks for Detecting Overlapping Elements in Sequence Data Joseph Bockhorst Dept

Markov Networks for Detecting Overlapping Elements in Sequence Data Joseph Bockhorst Dept

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  • 8 Slides

of Computer Sciences University of Wisconsin Madi...

Rev G APRIL Dell Reliable Memory Technology Detecting and isolating memory errors THIS WHITE PAPER IS FOR INFORMATIONAL PURPOSES ONLY AND MAY CONTAIN TYPOGRAPHICAL ERRORS AND TECHNICAL INACCURACIES

Rev G APRIL Dell Reliable Memory Technology Detecting and isolating memory errors THIS WHITE PAPER IS FOR INFORMATIONAL PURPOSES ONLY AND MAY CONTAIN TYPOGRAPHICAL ERRORS AND TECHNICAL INACCURACIES

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10 G12000462 APRIL 2012 Dell Reliable Memory Tech...

Statically Detecting Likely Buffer Overflow Vulnerabilities David Larochelle larochellecs

Statically Detecting Likely Buffer Overflow Vulnerabilities David Larochelle larochellecs

  • ellena-manuel
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virginiaedu University of Virginia Department of C...

Detecting Spoofed Packets Steven J

Detecting Spoofed Packets Steven J

  • alida-meadow
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Templeton Karl E Levitt Department of Computer Sc...

Road Sign Detection and Recognition Abstract Introduction Submitted to the IEEE Computer Society International Conference on Computer Vision and Pattern Recognition June

Road Sign Detection and Recognition Abstract Introduction Submitted to the IEEE Computer Society International Conference on Computer Vision and Pattern Recognition June

  • luanne-stotts
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brPage 2br Detecting the Signs a b Figure 1 a sho...

ro duct on In ecen ea bunda sequence da ta ha ed to widespr in ter st in metho detecting eno ic den ifying esp ecia lly no nco ing sequences tha the cr ll br es lo i

ro duct on In ecen ea bunda sequence da ta ha ed to widespr in ter st in metho detecting eno ic den ifying esp ecia lly no nco ing sequences tha the cr ll br es lo i

  • jane-oiler
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e tha ea ca ndida te sequence is under electio ll ...

Main sequence An index for detecting mental workload variation in complex tasks Leandro Luigi Di Stasi Adoracin Antol Jos Juan Caas Cognitive Ergonomics Group Department of Experimental Psychology

Main sequence An index for detecting mental workload variation in complex tasks Leandro Luigi Di Stasi Adoracin Antol Jos Juan Caas Cognitive Ergonomics Group Department of Experimental Psychology

  • cheryl-pisano
  • 7 Slides

Taking the Wickens multiple resource model as the...

Knowledge Acquisifion Detecting and correcting errors in rulebased expert systems an integration of empirical and explanation based learning MICHAEL J

Knowledge Acquisifion Detecting and correcting errors in rulebased expert systems an integration of empirical and explanation based learning MICHAEL J

  • conchita-marotz
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PAZZANI AND CLIFFORD A BRUNK Department of Inform...

Detecting High LogDensities an Approximation for Densest Subgraph Aditya Bhaskara Moses Charikar Eden Chlamtac Uriel Feige Aravindan Vijayaraghavan Abstract In the Densest Subgraph problem given a

Detecting High LogDensities an Approximation for Densest Subgraph Aditya Bhaskara Moses Charikar Eden Chlamtac Uriel Feige Aravindan Vijayaraghavan Abstract In the Densest Subgraph problem given a

  • phoebe-click
  • 24 Slides

There is a signi64257cant gap between the best kn...

In Proceedings of the th International Conference on Comp uter Vision ICCV IEEE Video Parsing forAbnormality Detection Borislav Anticand Bjorn Ommer InterdisciplinaryCenterforScienticComputingUniver

In Proceedings of the th International Conference on Comp uter Vision ICCV IEEE Video Parsing forAbnormality Detection Borislav Anticand Bjorn Ommer InterdisciplinaryCenterforScienticComputingUniver

  • celsa-spraggs
  • 8 Slides

anticbommer iwruniheidelbergde Abstract Detecting ...

Towards Detecting Anomalous User Behavior in Online Social Networks Bimal Viswanath MPISWS M

Towards Detecting Anomalous User Behavior in Online Social Networks Bimal Viswanath MPISWS M

  • pamella-moone
  • 16 Slides

Ahmad Bashir MPISWS Mark Crovella Boston Universi...

ASTUTE Detecting a Different Class of Trafc Anomalies Fernando Silveira Christophe Diot Nina Taft Ramesh Govindan Technicolor UPMC Paris Universitas Intel Labs Berkeley University of Southern Califor

ASTUTE Detecting a Different Class of Trafc Anomalies Fernando Silveira Christophe Diot Nina Taft Ramesh Govindan Technicolor UPMC Paris Universitas Intel Labs Berkeley University of Southern Califor

  • debby-jeon
  • 12 Slides

This equilibrium property holds if the ows are ne...

Detecting Software Theft via System Call Based Birthmarks Xinran Wang YoonChan Jhi Sencun Zhu Department of Computer Science and Engineering Pennsylvania State University University Park PA Email xi

Detecting Software Theft via System Call Based Birthmarks Xinran Wang YoonChan Jhi Sencun Zhu Department of Computer Science and Engineering Pennsylvania State University University Park PA Email xi

  • tawny-fly
  • 10 Slides

psuedu Peng Liu College of Information Sciences an...

Detecting Software Theft via Whole Program Path Birthmarks Ginger Myles and Christian Collberg Department of Computer Science University of Arizona Tucson AZ USA mylesgcollberg cs

Detecting Software Theft via Whole Program Path Birthmarks Ginger Myles and Christian Collberg Department of Computer Science University of Arizona Tucson AZ USA mylesgcollberg cs

  • sherrill-nordquist
  • 12 Slides

arizonaedu Abstract A software birthmark is a uniq...

Detecting Stealthy Distributed SSH BruteForcing Mobin Javed and Vern Paxson University of California Berkeley International Computer Science Institute Abstract In this work we propose a general appr

Detecting Stealthy Distributed SSH BruteForcing Mobin Javed and Vern Paxson University of California Berkeley International Computer Science Institute Abstract In this work we propose a general appr

  • mitsue-stanley
  • 11 Slides

We base our approach on observing statistically s...

Malicious Hubs Detecting Abnormally Malicious Autonomous Systems Andrew J

Malicious Hubs Detecting Abnormally Malicious Autonomous Systems Andrew J

  • liane-varnes
  • 5 Slides

Kalafut School of Informatics and Computing India...

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