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Partbased models for nding people and estimating their pose Deva Ramanan Abstract This chapter will survey approaches to person detection and pose esti mation with the use of partbased models

Partbased models for nding people and estimating their pose Deva Ramanan Abstract This chapter will survey approaches to person detection and pose esti mation with the use of partbased models

  • yoshiko-marsland
  • 25 Slides

After a brief introductionmotivation for the need...

D eople racking with Gaussian Pr ocess Dynamical Models Raquel Urtasun Computer ision Laboratory EPFL Switzerland raquel

D eople racking with Gaussian Pr ocess Dynamical Models Raquel Urtasun Computer ision Laboratory EPFL Switzerland raquel

  • trish-goza
  • 8 Slides

urtasunep64258ch Da vid J Fleet Dept of Computer S...

Online Learned Discriminative PartBased Appearance Models for MultiHuman Tracking Bo Yang and Ram Nevatia Institute for Robotics and Intelligent Systems University of Southern California Los Angeles

Online Learned Discriminative PartBased Appearance Models for MultiHuman Tracking Bo Yang and Ram Nevatia Institute for Robotics and Intelligent Systems University of Southern California Los Angeles

  • natalia-silvester
  • 14 Slides

edu Abstract We introduce an online learning appro...

IEEE International Conference on Computer Vision ICCV N ovember Barcelona Spain

IEEE International Conference on Computer Vision ICCV N ovember Barcelona Spain

  • debby-jeon
  • 8 Slides

Latent Structured Models for Human Pose Estimatio...

Chapter Part II Autoregressive Models Another simple time series model is the f irst order autoregression denoted by AR

Chapter Part II Autoregressive Models Another simple time series model is the f irst order autoregression denoted by AR

  • calandra-battersby
  • 5 Slides

Th eries is AR1 if it satis64257es the iterativ...

Estimation of Parameters and Eigenmodes of Multivariate Autoregressive Models ARNOLD NEUMAIER Universitt Wien and TAPIO SCHNEIDER New York University Dynamical characteristics of a complex system can

Estimation of Parameters and Eigenmodes of Multivariate Autoregressive Models ARNOLD NEUMAIER Universitt Wien and TAPIO SCHNEIDER New York University Dynamical characteristics of a complex system can

  • olivia-moreira
  • 31 Slides

Oscillations in geophysical systems for example a...

Characterization of architectural tree models using Lsystems and Petri nets Przemyslaw Prusinkiewicz and William R

Characterization of architectural tree models using Lsystems and Petri nets Przemyslaw Prusinkiewicz and William R

  • celsa-spraggs
  • 20 Slides

Remphrey Department of Computer Science Universit...

Perceptual illusions and brain models Perceptual illusions and brain models R

Perceptual illusions and brain models Perceptual illusions and brain models R

  • pasty-toler
  • 8 Slides

L Gregory Reprinted from Proc Royal Society B 171...

Guided Image Filtering Kaiming He Jian Sun and Xiaoou Tang Department of Information Engineering The Chinese Univer sity of Hong Kong Microsoft Research Asia Shenzhen Institutes of Advanced Technol

Guided Image Filtering Kaiming He Jian Sun and Xiaoou Tang Department of Information Engineering The Chinese Univer sity of Hong Kong Microsoft Research Asia Shenzhen Institutes of Advanced Technol

  • briana-ranney
  • 14 Slides

In this paper we propose a novel type of explicit...

Filter Forests for Learning DataDependent Convolutional Kernels Sean Ryan Fanello Cem Keskin Pushmeet Kohli Shahram Izadi Jamie Shotton Antonio Criminisi Ugo Pattacini Tim Paek Microsoft Research iC

Filter Forests for Learning DataDependent Convolutional Kernels Sean Ryan Fanello Cem Keskin Pushmeet Kohli Shahram Izadi Jamie Shotton Antonio Criminisi Ugo Pattacini Tim Paek Microsoft Research iC

  • liane-varnes
  • 8 Slides

FF can be used for general signal restoration tas...

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...

MultipleInstance Pruning For Learning Efcient Cascade Detectors Cha Zhang and Paul Viola Microsoft Research One Microsoft Way Redmond WA chazhangviola microsoft

MultipleInstance Pruning For Learning Efcient Cascade Detectors Cha Zhang and Paul Viola Microsoft Research One Microsoft Way Redmond WA chazhangviola microsoft

  • liane-varnes
  • 8 Slides

com Abstract Cascade detectors have been shown to ...

Method Microsoft Wo rd word processor Method Altkeys Method Windows

Method Microsoft Wo rd word processor Method Altkeys Method Windows

  • myesha-ticknor
  • 2 Slides

brPage 1br Method 1 Microsoft Wo rd word processor...

CoarsetoFine Inference and Learning for FirstOrder Probabilistic Models Chlo e Kiddon and Pedro Domingos Department of Computer Science Engineering University of Washington Seattle WA chloepedrod c

CoarsetoFine Inference and Learning for FirstOrder Probabilistic Models Chlo e Kiddon and Pedro Domingos Department of Computer Science Engineering University of Washington Seattle WA chloepedrod c

  • min-jolicoeur
  • 8 Slides

washingtonedu Abstract Coarseto64257ne approaches ...

A Volumetric Method for Building Complex Models from Range Images Brian Curless and Marc Levoy Stanford University Abstract A number of techniques have been developed for reconstructing sur faces by

A Volumetric Method for Building Complex Models from Range Images Brian Curless and Marc Levoy Stanford University Abstract A number of techniques have been developed for reconstructing sur faces by

  • phoebe-click
  • 10 Slides

A desirable set of properties for such algorithms...

Computational methods for mixed models Douglas Bates Department of Statistics University of Wisconsin Madison June Abstract The lme package provides R functions to t and analyze several dierent ty

Computational methods for mixed models Douglas Bates Department of Statistics University of Wisconsin Madison June Abstract The lme package provides R functions to t and analyze several dierent ty

  • alida-meadow
  • 21 Slides

In this vignette we describe the formulation of t...

Principles of MixedInitiative User Interfaces Eric Horvitz Microsoft Research Redmond WA USA horvitzmicrosoft

Principles of MixedInitiative User Interfaces Eric Horvitz Microsoft Research Redmond WA USA horvitzmicrosoft

  • karlyn-bohler
  • 9 Slides

com ABSTRACT Recent debate has centered on the rel...

Probabilistic Programming Andrew D

Probabilistic Programming Andrew D

  • marina-yarberry
  • 13 Slides

Gordon Microsoft Research adgmicrosoftcom Thomas ...

JOURNAL OF MEMORY AND LANGUAGE Some Criticisms of Connectionist Models of Human Performance DOMINIC W

JOURNAL OF MEMORY AND LANGUAGE Some Criticisms of Connectionist Models of Human Performance DOMINIC W

  • lindy-dunigan
  • 22 Slides

MASSARO Program in Experimentul Psychology Univer...

Rectier Nonlinearities Improve Neural Network Acoustic Models Andrew L

Rectier Nonlinearities Improve Neural Network Acoustic Models Andrew L

  • faustina-dinatale
  • 6 Slides

Maas amaascsstanfordedu Awni Y Hannun awnicsstanf...

UAV Cooperative Control with Stochastic Risk Models Alborz Geramifard Joshua Redding Nicholas Roy and Jonathan P

UAV Cooperative Control with Stochastic Risk Models Alborz Geramifard Joshua Redding Nicholas Roy and Jonathan P

  • giovanna-bartolotta
  • 8 Slides

How Abstract Risk and reward are fundamental con...

An Introduction to Error Correction Models Robin Best Oxford Spring School for Quantitative Methods in Social Research An Introduction to ECMs Error Correction Models ECMs are a category of mu ltipl

An Introduction to Error Correction Models Robin Best Oxford Spring School for Quantitative Methods in Social Research An Introduction to ECMs Error Correction Models ECMs are a category of mu ltipl

  • stefany-barnette
  • 16 Slides

ECMs are useful for estimating both short term an...

GMM Estimators for Linear Regression Models The next step as in Section

GMM Estimators for Linear Regression Models The next step as in Section

  • calandra-battersby
  • 2 Slides

2 GMM Estimators for Linear Regression Models 355 ...

Intro to path analysis Sources This discussion draws heavily from Otis Dudley Duncans Introduction to Structural Equation Models

Intro to path analysis Sources This discussion draws heavily from Otis Dudley Duncans Introduction to Structural Equation Models

  • myesha-ticknor
  • 20 Slides

Overview Our theories often lead us to be interes...

Canonical State Models for Automatic Speech Recognition M

Canonical State Models for Automatic Speech Recognition M

  • faustina-dinatale
  • 4 Slides

JF Gales and K Yu Cambridge University Engineering...

Crosstalk Cascades for FrameRate Pedestrian Detection Piotr Dollar Ron Appel Wolf Kienzle Microsoft Research Redmond California Institute of Technology pdollarwkienzle microsoft

Crosstalk Cascades for FrameRate Pedestrian Detection Piotr Dollar Ron Appel Wolf Kienzle Microsoft Research Redmond California Institute of Technology pdollarwkienzle microsoft

  • sherrill-nordquist
  • 14 Slides

com appelcaltechedu Abstract Cascades help make sl...

HVAC Control Balancing Dampers Models VCD MBD and RBD Selection Construction Performance August H W HVAC Control and Balancing Dampers Commercial Control Dampers are used in buildings to regula

HVAC Control Balancing Dampers Models VCD MBD and RBD Selection Construction Performance August H W HVAC Control and Balancing Dampers Commercial Control Dampers are used in buildings to regula

  • yoshiko-marsland
  • 20 Slides

They can be used in intake exhaust or mixed air a...

Blessing of Dimensionality Highdimensional Feature and Its Efcient Compression for Face Verication Dong Chen Xudong Cao Fang Wen Jian Sun University of Science and Technology of China Microsoft Resea

Blessing of Dimensionality Highdimensional Feature and Its Efcient Compression for Face Verication Dong Chen Xudong Cao Fang Wen Jian Sun University of Science and Technology of China Microsoft Resea

  • giovanna-bartolotta
  • 8 Slides

ustceducn xudongcafangwenjiansun microsoftcom Abst...

EH SERIES ELECTRONIC RECORDER MODEL EH Recorder MODELS EH pen continuous writing D point dotting points dotting points dotting points dotting points dotting points dotting p

EH SERIES ELECTRONIC RECORDER MODEL EH Recorder MODELS EH pen continuous writing D point dotting points dotting points dotting points dotting points dotting points dotting p

  • natalia-silvester
  • 8 Slides

OF MEASURING POINT INPUT IPSE279A brPage 2br EH S...

INDIRECT INFERENCE prepared for The New Palgrave Dictionary of Economics Second Edition Abstract Indirect inference is a simulationbased method for estimating the parameters of economic models

INDIRECT INFERENCE prepared for The New Palgrave Dictionary of Economics Second Edition Abstract Indirect inference is a simulationbased method for estimating the parameters of economic models

  • faustina-dinatale
  • 9 Slides

Its hallmark is the use of an auxiliary model to ...

Deri ati obser ations in Gaussian Pr ocess Models of Dynamic Systems E

Deri ati obser ations in Gaussian Pr ocess Models of Dynamic Systems E

  • celsa-spraggs
  • 8 Slides

Solak Dept Elec Electr Eng Strathclyde Uni ersity...

The Nature of Datacenter Trafc Measurements Analysis Srikanth Kandula Sudipta Sengupta Albert Greenberg Par veen Patel Ronnie Chaiken Microsoft Research ABSTRACT We explore the nature of trac in dat

The Nature of Datacenter Trafc Measurements Analysis Srikanth Kandula Sudipta Sengupta Albert Greenberg Par veen Patel Ronnie Chaiken Microsoft Research ABSTRACT We explore the nature of trac in dat

  • faustina-dinatale
  • 7 Slides

Weinstrumenttheserve rsto collect socketlevellogs...

DISTILLATION COLUMN CONTROL DESIGN USING STEADY STATE MODELS USEFULNESS AND LIMITATIONS Paul S

DISTILLATION COLUMN CONTROL DESIGN USING STEADY STATE MODELS USEFULNESS AND LIMITATIONS Paul S

  • min-jolicoeur
  • 18 Slides

Fruehauf PE Engineering Department E I du Pont de...

You are facing the Mona Lisa Spot Localization using PHY Layer Information Souvik Sen Duke University souvik

You are facing the Mona Lisa Spot Localization using PHY Layer Information Souvik Sen Duke University souvik

  • lindy-dunigan
  • 14 Slides

sendukeedu Boidar Radunovi Microsoft Research bozi...

Discriminative Features via Generalized Eigenvectors Nikos Karampatziakis NIKOSK MICROSOFT COM Paul Mineiro PMINEIRO MICROSOFT COM Microsoft CISL Microsoft Way Redmond WA USA Abstract Representing

Discriminative Features via Generalized Eigenvectors Nikos Karampatziakis NIKOSK MICROSOFT COM Paul Mineiro PMINEIRO MICROSOFT COM Microsoft CISL Microsoft Way Redmond WA USA Abstract Representing

  • briana-ranney
  • 9 Slides

In this paper we investigate scalable techniques ...

Measurement and Calibration Software for Automotive Electronic Control Units ECUs Overview The NI ECU Measurement and Calibration Toolkit extends the NI LabVIEW NI LabWindowsCVI and Microsoft CC prog

Measurement and Calibration Software for Automotive Electronic Control Units ECUs Overview The NI ECU Measurement and Calibration Toolkit extends the NI LabVIEW NI LabWindowsCVI and Microsoft CC prog

  • phoebe-click
  • 3 Slides

The ECU Measurement and Calibration Toolkit offer...

Atlas Encoding by Randomized Forests for Ecient Label Propagation Darko Zikic Ben Glocker and Antonio Criminisi Microsoft Research Cambridge Abstract We propose a method for multiatlas label propagat

Atlas Encoding by Randomized Forests for Ecient Label Propagation Darko Zikic Ben Glocker and Antonio Criminisi Microsoft Research Cambridge Abstract We propose a method for multiatlas label propagat

  • tatiana-dople
  • 8 Slides

Most current approaches perform a nonlinear regis...

RANK ESTIMATORS FOR MONOTONIC INDEX MODELS By Christopher Cavanagh and Robert P

RANK ESTIMATORS FOR MONOTONIC INDEX MODELS By Christopher Cavanagh and Robert P

  • min-jolicoeur
  • 26 Slides

Sherman Department of Economics Columbia Universi...

RADAR An InBuilding RFbased User Location and Tracking System Paramvir Bahl and Venkata N

RADAR An InBuilding RFbased User Location and Tracking System Paramvir Bahl and Venkata N

  • marina-yarberry
  • 10 Slides

Padmanabhan Microsoft Research bahl padmanabmicro...

Linearization of Nonlinear Models Most chemical process models are nonlinear but they are often linearized to perform a simulation an d stability analysis

Linearization of Nonlinear Models Most chemical process models are nonlinear but they are often linearized to perform a simulation an d stability analysis

  • natalia-silvester
  • 15 Slides

Linear models are easier to understand than nonl...

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