Explore
Upload

DocSlides is a free service to upload presentations and documents.

Upload Now

Search Results for 'Object Fast'

Object Fast published presentations and documents on DocSlides.

Fast and Accurate Bessel Function Computation John Harrison Intel Corporation JF NE th Avenue Hillsboro OR USA Email johnhichips

Fast and Accurate Bessel Function Computation John Harrison Intel Corporation JF NE th Avenue Hillsboro OR USA Email johnhichips

  • tawny-fly
  • 10 Slides

intelcom Abstract The Bessel functions are conside...

Multivibrator Circuits Bistable multivibrators Multivibrators Circuits characterized by the existence of some wel l defined states amongst which take place fast transitions called switching processe

Multivibrator Circuits Bistable multivibrators Multivibrators Circuits characterized by the existence of some wel l defined states amongst which take place fast transitions called switching processe

  • calandra-battersby
  • 20 Slides

A switching process is a fast change in value of ...

Bounded Biharmonic Weights for RealTime Deformation Alec Jacobson Ilya Baran Jovan Popovi Olga Sorkine New York University Disney Research Zurich Adobe Systems Inc

Bounded Biharmonic Weights for RealTime Deformation Alec Jacobson Ilya Baran Jovan Popovi Olga Sorkine New York University Disney Research Zurich Adobe Systems Inc

  • luanne-stotts
  • 8 Slides

ETH Zurich Abstract Object deformation with linea...

Cascade Object Detection with Deformable Part Models Pedro F

Cascade Object Detection with Deformable Part Models Pedro F

  • calandra-battersby
  • 8 Slides

Felzenszwalb University of Chicago pffcsuchicagoe...

Learning a CategoryIndependent Object Detection Cascade Esa Rahtu Juho Kannala Machine Vision Group University of Oulu Finland Matthew Blaschko Visual Geometry Group University of Oxford UK Abstract

Learning a CategoryIndependent Object Detection Cascade Esa Rahtu Juho Kannala Machine Vision Group University of Oulu Finland Matthew Blaschko Visual Geometry Group University of Oxford UK Abstract

  • briana-ranney
  • 8 Slides

Here we focus on the 64257rst layers of a categor...

SOLUTION FOR MICRO CALE MEA URE ENT Microsensors are a unique research tool for investigating systems on a truly tiny scale offering profound advantages with fast response times high spatial resoluti

SOLUTION FOR MICRO CALE MEA URE ENT Microsensors are a unique research tool for investigating systems on a truly tiny scale offering profound advantages with fast response times high spatial resoluti

  • lois-ondreau
  • 2 Slides

Unisense microsensors are applied in a variety of...

A Coarsetone approach for fast deformable object detection Marco Pedersoli Andrea Vedaldi Jordi Gonz alez Centre de Visi o per Computador Autonomous University of Barcelona Spain marcopedepoal cvc

A Coarsetone approach for fast deformable object detection Marco Pedersoli Andrea Vedaldi Jordi Gonz alez Centre de Visi o per Computador Autonomous University of Barcelona Spain marcopedepoal cvc

  • phoebe-click
  • 8 Slides

uabes Department of Engineering Science University...

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...

Conditional Random Fields for Object Recognition Ariadna Quattoni Michael Collins Trevor Darrell MIT Computer Science and Articial Intelligence Laboratory Cambridge MA ariadna mcollins trevor csail

Conditional Random Fields for Object Recognition Ariadna Quattoni Michael Collins Trevor Darrell MIT Computer Science and Articial Intelligence Laboratory Cambridge MA ariadna mcollins trevor csail

  • mitsue-stanley
  • 8 Slides

mitedu Abstract We present a discriminative partba...

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIG ENCE TO APPEAR CPMC Automatic Object Segmentation Using Constrained Parametric MinCuts Jo ao Carreira and Cristian Sminchisescu Abstract We

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIG ENCE TO APPEAR CPMC Automatic Object Segmentation Using Constrained Parametric MinCuts Jo ao Carreira and Cristian Sminchisescu Abstract We

  • cheryl-pisano
  • 17 Slides

The object hypotheses are represented as 64257gur...

Fast and Globally Convergent Pose Estimation from Video Images ChienPing Lu Member IEEE Gregory D

Fast and Globally Convergent Pose Estimation from Video Images ChienPing Lu Member IEEE Gregory D

  • ellena-manuel
  • 13 Slides

Hager Member IEEE Computer Society and Eric Mjol...

Convolution Pyramids Zeev Farbman The Hebrew University Raanan Fattal The Hebrew University Dani Lischinski The Hebrew University Figure Three examples of applications that benet from our fast convo

Convolution Pyramids Zeev Farbman The Hebrew University Raanan Fattal The Hebrew University Dani Lischinski The Hebrew University Figure Three examples of applications that benet from our fast convo

  • phoebe-click
  • 8 Slides

Left gradient 64257eld integration Middle membran...

Fast local crosscorrelations of images Dave Hale Colorado School of Mines Summary Consider two multidimensional digital signals each with samples

Fast local crosscorrelations of images Dave Hale Colorado School of Mines Summary Consider two multidimensional digital signals each with samples

  • karlyn-bohler
  • 4 Slides

For some number of lags the cost of computing a ...

OUTLINE EXECUTIVE SUMMARY Continuous Type Oil Level Sensors for the Dashpots of Control and Safety Rod Drive Mechanisms in Prototype Fast Breeder Reactor Pulsating type high precision oil level senso

OUTLINE EXECUTIVE SUMMARY Continuous Type Oil Level Sensors for the Dashpots of Control and Safety Rod Drive Mechanisms in Prototype Fast Breeder Reactor Pulsating type high precision oil level senso

  • tawny-fly
  • 2 Slides

The development includes associated pulse handlin...

Fast Eective Lossy Compression Algorithms for Scientic Datasets Jeremy Iverson Chandrika Kamath and George Karypis University of Minnesota Minneapolis MN USA Lawrence Livermore National Laborator

Fast Eective Lossy Compression Algorithms for Scientic Datasets Jeremy Iverson Chandrika Kamath and George Karypis University of Minnesota Minneapolis MN USA Lawrence Livermore National Laborator

  • ellena-manuel
  • 12 Slides

This paper focuses on developing e64256ective and...

CS February National Center for HIVAIDS Viral Hepatitis STD and TB Prevention Division of HIVAIDS Prevention Occupational HIV Transmission and Prevention Among Health Care Workers Fast Facts Occupat

CS February National Center for HIVAIDS Viral Hepatitis STD and TB Prevention Division of HIVAIDS Prevention Occupational HIV Transmission and Prevention Among Health Care Workers Fast Facts Occupat

  • natalia-silvester
  • 2 Slides

CDC recommends proper use of safety devices and b...

Fast Image Deconvolution using HyperLaplacian Priors Dilip Krishnan Dept

Fast Image Deconvolution using HyperLaplacian Priors Dilip Krishnan Dept

  • tatiana-dople
  • 9 Slides

of Computer Science Courant Institute New York Un...

Internally Deterministic Parallel Algorithms Can Be Fast Guy E

Internally Deterministic Parallel Algorithms Can Be Fast Guy E

  • sherrill-nordquist
  • 12 Slides

Blelloch Jeremy T Fineman Phillip B Gibbons Julia...

R e g i s t e r e d a t t h e a b o v e a d d r e s s i n E n g l a n d a n d W a l e s C o m p a n y R e g i s t r a t i o n N u m b e r Spectrum adds fast MSs digitisers to its digitizerNE

R e g i s t e r e d a t t h e a b o v e a d d r e s s i n E n g l a n d a n d W a l e s C o m p a n y R e g i s t r a t i o n N u m b e r Spectrum adds fast MSs digitisers to its digitizerNE

  • sherrill-nordquist
  • 2 Slides

The new products feature fast ADC technology whic...

Version ECE IIT Kharagpur Version ECE IIT Kharagpur Version ECE IIT Kharagpur Version ECE IIT Kharagpur N N n k cos cos otherwise for N Fast Fourier Transform FFT log Version ECE IIT Kharag

Version ECE IIT Kharagpur Version ECE IIT Kharagpur Version ECE IIT Kharagpur Version ECE IIT Kharagpur N N n k cos cos otherwise for N Fast Fourier Transform FFT log Version ECE IIT Kharag

  • briana-ranney
  • 17 Slides

1 Fig 92 brPage 6br Version 2 ECE IIT Kharagpur co...

FastTiming Discriminator Selection Guides ORTEC Codes AMP Includes fast amplifier LE Leadingedge discriminator mode ARC Amplitude and rise time compensated timing SCA Singlechannel analyzer upper

FastTiming Discriminator Selection Guides ORTEC Codes AMP Includes fast amplifier LE Leadingedge discriminator mode ARC Amplitude and rise time compensated timing SCA Singlechannel analyzer upper

  • kittie-lecroy
  • 1 Slides

865 4824411 Fax 865 4830396 ortecinfoametekcom ...

Estimating Gamma distribution Thomas Mink Abstract This note deriv es fast algorithm for maxim umlik eliho estimation of oth parameters of Gamma distribution or negativ ebinomial distribution

Estimating Gamma distribution Thomas Mink Abstract This note deriv es fast algorithm for maxim umlik eliho estimation of oth parameters of Gamma distribution or negativ ebinomial distribution

  • min-jolicoeur
  • 3 Slides

In tro duction ha observ ed indep enden data oin ...

LANGUAGE Name Language Objective Age A Matching Sets To be able to find similarities and differences and find pairs Birds to Boy Face to Butterfly to Animal to Fruit to Vehicles to

LANGUAGE Name Language Objective Age A Matching Sets To be able to find similarities and differences and find pairs Birds to Boy Face to Butterfly to Animal to Fruit to Vehicles to

  • giovanna-bartolotta
  • 4 Slides

1 Object object 4 to 5 2 Number object 4 to 5 3...

HalfFourier Acquisition SingleShot Turbo SpinEcho HASTE MR Comparison with Fast SpinEcho MR in Diseases of the Brain Mahesh R

HalfFourier Acquisition SingleShot Turbo SpinEcho HASTE MR Comparison with Fast SpinEcho MR in Diseases of the Brain Mahesh R

  • marina-yarberry
  • 6 Slides

Patel Roman A Klufas Ronald A Alberico and Robert...

Features Fast read access time ns Lowpower CMOS operation A max standby mA max active at MHz JEDEC standard packages lead PDIP lead PLCC V supply High reliability CMOS technology V ESD protect

Features Fast read access time ns Lowpower CMOS operation A max standby mA max active at MHz JEDEC standard packages lead PDIP lead PLCC V supply High reliability CMOS technology V ESD protect

  • tatyana-admore
  • 13 Slides

Description The Atmel AT27C256R is a lowpower hig...

Fast Maximum Margin Matrix Factorization for Collaborative Prediction Jason D

Fast Maximum Margin Matrix Factorization for Collaborative Prediction Jason D

  • sherrill-nordquist
  • 7 Slides

M Rennie JRENNIE CSAIL MIT EDU Computer Science a...

FAST AND LS TTL DATA DUAL JK FLIPFLOP WITH SET AND CLEAR The SNLSA offers individual J K Clock Pulse Direct Set and Di rect Clear inputs

FAST AND LS TTL DATA DUAL JK FLIPFLOP WITH SET AND CLEAR The SNLSA offers individual J K Clock Pulse Direct Set and Di rect Clear inputs

  • mitsue-stanley
  • 2 Slides

These dual flipflops are designed so that when th...

SIAMR EVIEW SocietyforIndustrialandAppliedMathematics Vol

SIAMR EVIEW SocietyforIndustrialandAppliedMathematics Vol

  • pamella-moone
  • 12 Slides

46No3pp443454 Accelerating the Nonuniform Fast Fou...

Coherent and Incoherent Cutoff Frequency The classic coherent imaging system uses a normally incident monochromatic plane wave for illumination

Coherent and Incoherent Cutoff Frequency The classic coherent imaging system uses a normally incident monochromatic plane wave for illumination

  • stefany-barnette
  • 8 Slides

When the object is a grating with a single freque...

Fast Algorithms for LargeStateSpace HMMs with Applications to Web Usage Analysis Pedro F

Fast Algorithms for LargeStateSpace HMMs with Applications to Web Usage Analysis Pedro F

  • lois-ondreau
  • 8 Slides

Felzenszwalb Daniel P Huttenlocher Jon M Kleinb...

Fast Probabilistic Optimization from Noisy Gradients Philipp Hennig philipp

Fast Probabilistic Optimization from Noisy Gradients Philipp Hennig philipp

  • yoshiko-marsland
  • 9 Slides

hennigtuebingenmpgde Max Planck Institute for Inte...

D Printing Technology Introduction to D Printing D printing is a form of additive manufacturing technology where a three dimensional object is created by laying down successive layers of material

D Printing Technology Introduction to D Printing D printing is a form of additive manufacturing technology where a three dimensional object is created by laying down successive layers of material

  • debby-jeon
  • 5 Slides

It is also known as rapid prototyping is a mechan...

Unsupervised Learning of Invariant Feature Hierarchies with Applications to Object Recognition MarcAurelio Ranzato FuJie Huang YLan Boureau Yann Le Cun Courant Institute of Mathematical Sciences New

Unsupervised Learning of Invariant Feature Hierarchies with Applications to Object Recognition MarcAurelio Ranzato FuJie Huang YLan Boureau Yann Le Cun Courant Institute of Mathematical Sciences New

  • celsa-spraggs
  • 9 Slides

nyuedu httpwwwcsnyuedu yann Abstract We present an...

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...

MITSUBISHI ELECTRIC RESEARCH LABORATORIES httpwww

MITSUBISHI ELECTRIC RESEARCH LABORATORIES httpwww

  • myesha-ticknor
  • 10 Slides

merlcom Integral Histogram A Fast Way to Extract H...

mirror mirror object reconstruction beam virtual mirror photo film brP

mirror mirror object reconstruction beam virtual mirror photo film brP

  • test
  • 12 Slides

brPage 3br mirror mirror object reconstruction bea...

The amount of light coming to the eye from an object depends on the amount of light striking the surface and on the proportion of light that is reflected

The amount of light coming to the eye from an object depends on the amount of light striking the surface and on the proportion of light that is reflected

  • faustina-dinatale
  • 13 Slides

If a visual system only made a single measurement...

EECS IMPULSES AND IMPULSE RESPONSE CONTINUOUSTIME IMPULSES Def An impulse is the limiting case of a constantarea high and fast pulse

EECS IMPULSES AND IMPULSE RESPONSE CONTINUOUSTIME IMPULSES Def An impulse is the limiting case of a constantarea high and fast pulse

  • ellena-manuel
  • 2 Slides

An impulse has zero width in64257nite height and...

Interpretation Trees CS Lecture April Bruce A

Interpretation Trees CS Lecture April Bruce A

  • tawny-fly
  • 3 Slides

Draper Variations on Object Recognition Problem 1...

Object Identification and Recognition II Introduction to Computational and Biological Vision CS Computer Science Department BGU Ohad BenShahar Interpretation Trees for FeatureBased Identificati on

Object Identification and Recognition II Introduction to Computational and Biological Vision CS Computer Science Department BGU Ohad BenShahar Interpretation Trees for FeatureBased Identificati on

  • tatyana-admore
  • 20 Slides

Otherwise backtrack brPage 11br Interpretation Tr...

Copyright © 2024 DocSlides. All Rights Reserved