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A CoarsetoFine Strategy for Multiclass Shape Detection Yali Amit Donald Geman and Xiaodong Fan Abstract Multiclass shape detection in the sense of recognizing and localizing instances from multiple s

A CoarsetoFine Strategy for Multiclass Shape Detection Yali Amit Donald Geman and Xiaodong Fan Abstract Multiclass shape detection in the sense of recognizing and localizing instances from multiple s

  • pamella-moone
  • 16 Slides

During indexing a list of instantiations shape id...

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...

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...

IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING Detection of Glottal Closure Instants from Speech Signals a Quantitative Review Thomas Drugman Mark Thomas Jon Gudnason Patrick Naylor Thi er

IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING Detection of Glottal Closure Instants from Speech Signals a Quantitative Review Thomas Drugman Mark Thomas Jon Gudnason Patrick Naylor Thi er

  • trish-goza
  • 11 Slides

This requires however that the precise locations ...

Glottal Closure and Opening Instant Detection from Speech S ignals Thomas Drugman Thierry Dutoit TCTS Lab Faculte Polytechnique de Mons Boulevard Dol ez Mons Belgium Abstract This paper proposes a

Glottal Closure and Opening Instant Detection from Speech S ignals Thomas Drugman Thierry Dutoit TCTS Lab Faculte Polytechnique de Mons Boulevard Dol ez Mons Belgium Abstract This paper proposes a

  • tawny-fly
  • 4 Slides

The procedure is divided into two successive ste ...

GLOTTAL OPENING INSTANT DETECTION FROM SPEECH SIGNAL Acha Bouzid and Noureddine Ellouze National School of Engineers of Tunis Le Belvdre B

GLOTTAL OPENING INSTANT DETECTION FROM SPEECH SIGNAL Acha Bouzid and Noureddine Ellouze National School of Engineers of Tunis Le Belvdre B

  • briana-ranney
  • 4 Slides

P 37 1002 Tunis Tunisia Africa phone 216 71 874 7...

Detection of Glottal Closure Instants based on the Microcanonical Multiscale Formalism Vahid Khanagha Khalid Daoudi Hussein Yahia To cite this version Vahid Khanagha Khalid Daoudi Hussein Yahia

Detection of Glottal Closure Instants based on the Microcanonical Multiscale Formalism Vahid Khanagha Khalid Daoudi Hussein Yahia To cite this version Vahid Khanagha Khalid Daoudi Hussein Yahia

  • phoebe-click
  • 14 Slides

Detection of Glottal Closure Instants based on th...

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...

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...

Agency Listings Photoelectric Smoke Detectors System Sensor i series smoke detectors represent signicant advancement in conventional detection

Agency Listings Photoelectric Smoke Detectors System Sensor i series smoke detectors represent signicant advancement in conventional detection

  • test
  • 2 Slides

The i family is founded on three principles insta...

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...

Dominant Orientation Templates for RealTime Detection of TextureLess Objects Stefan Hinterstoisser Vincent Lepetit Slobodan Ilic Pascal Fua Nassir Navab Department of Computer Science CAMP Techni

Dominant Orientation Templates for RealTime Detection of TextureLess Objects Stefan Hinterstoisser Vincent Lepetit Slobodan Ilic Pascal Fua Nassir Navab Department of Computer Science CAMP Techni

  • calandra-battersby
  • 8 Slides

ilicnavab intumde vincentlepetitpascalfua epflch A...

Real time Detection of Lane Markers in Urban Streets Mohamed Aly Computational Vision Lab Electrical Engineering California Institute of Technology Pasadena CA malaacaltech

Real time Detection of Lane Markers in Urban Streets Mohamed Aly Computational Vision Lab Electrical Engineering California Institute of Technology Pasadena CA malaacaltech

  • alexa-scheidler
  • 6 Slides

edu Fig 1 Challenges of lane detection in urban st...

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE Gradient Response Maps for RealTime Detection of TextureLess Objects Stefan Hinterstoisser Cedric Cagniart Student Members IEEE Slobodan

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE Gradient Response Maps for RealTime Detection of TextureLess Objects Stefan Hinterstoisser Cedric Cagniart Student Members IEEE Slobodan

  • natalia-silvester
  • 14 Slides

At its core our approach is a novel image represe...

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...

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...

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...

Improving Arc Detection in Graphics Recognition Philippe Dosch ORIA Universit de Nancy doschloria

Improving Arc Detection in Graphics Recognition Philippe Dosch ORIA Universit de Nancy doschloria

  • yoshiko-marsland
  • 4 Slides

fr Grald Masini ORIA C NRS masiniloriafr Karl Tomb...

Gaussian Process Dynamical Models Jack M

Gaussian Process Dynamical Models Jack M

  • luanne-stotts
  • 8 Slides

Wang David J Fleet Aaron Hertzmann Department of ...

Digital Control Module Lecture Module Discrete State Space Models Lecture Note Introduction to State Variable Model In the preceding lectures we have learned how to design a sam pled data contro

Digital Control Module Lecture Module Discrete State Space Models Lecture Note Introduction to State Variable Model In the preceding lectures we have learned how to design a sam pled data contro

  • natalia-silvester
  • 4 Slides

Transfer function approach of system modeling pro...

Gradiometers for UXO Gradiometers for UXO Detection Detection Alan Cameron GSE Rentals Traditional Detection Traditional Detection Methods Methods Pulse Induced Metal Detector Towed Magnetometer Pu

Gradiometers for UXO Gradiometers for UXO Detection Detection Alan Cameron GSE Rentals Traditional Detection Traditional Detection Methods Methods Pulse Induced Metal Detector Towed Magnetometer Pu

  • olivia-moreira
  • 22 Slides

02nT Faster cycle rates Up to 10Hz Longer range de...

Sparse classiers for Automated Heart Wall Motion Abnormal ity Detection Glenn Fung Maleeha Qazi Sriram Krishnan Jinbo Bi Bharat Rao Siemens Medical Solutions Valley Stream Parkway Malvern PA USA gle

Sparse classiers for Automated Heart Wall Motion Abnormal ity Detection Glenn Fung Maleeha Qazi Sriram Krishnan Jinbo Bi Bharat Rao Siemens Medical Solutions Valley Stream Parkway Malvern PA USA gle

  • tatyana-admore
  • 7 Slides

fungsiemenscom Alan Katz St Francis Hospital 100 P...

Structure Learning in Random Fields for Heart Motion Abnorm ality Detection Mark Schmidt Kevin Murphy Computer Science Dept

Structure Learning in Random Fields for Heart Motion Abnorm ality Detection Mark Schmidt Kevin Murphy Computer Science Dept

  • karlyn-bohler
  • 8 Slides

University of British Columbia Vancouver BC Glenn...

Models of Ecological Rationality The Recognition Heuristic Daniel G

Models of Ecological Rationality The Recognition Heuristic Daniel G

  • tawny-fly
  • 16 Slides

Goldstein and Gerd Gigerenzer Max Planck Institut...

Hierarchical Topic Models and the Nested Chinese Restaurant Process David M

Hierarchical Topic Models and the Nested Chinese Restaurant Process David M

  • debby-jeon
  • 8 Slides

Blei Thomas L Grif64257ths bleicsberkeleyedu gruf...

Hilbert Space Embeddings of Hidden Markov Models Le Song lesongcs

Hilbert Space Embeddings of Hidden Markov Models Le Song lesongcs

  • tatyana-admore
  • 8 Slides

cmuedu Byron Boots bebcscmuedu School of Computer ...

Algorithm for Treatment of Hypertension eference Card From the Seventh Report of the Joint National Committee on Pr evention Detection Evaluation and Treatment of High Blood Pressure JNC EVALUATION

Algorithm for Treatment of Hypertension eference Card From the Seventh Report of the Joint National Committee on Pr evention Detection Evaluation and Treatment of High Blood Pressure JNC EVALUATION

  • sherrill-nordquist
  • 2 Slides

Reveal identifiable causes of hypertension Assess...

a nasty issue Identifiability There are PIMs that specify models to that cannot be identified

a nasty issue Identifiability There are PIMs that specify models to that cannot be identified

  • ellena-manuel
  • 6 Slides

That is the data do not MARK permit the estimatio...

Contour Detection and Hierarchical Image Segmentation Pablo Arbel aez Member IEEE Michael Maire Member IEEE Charless Fowlkes Member IEEE and Jitendra Malik Fellow IEEE

Contour Detection and Hierarchical Image Segmentation Pablo Arbel aez Member IEEE Michael Maire Member IEEE Charless Fowlkes Member IEEE and Jitendra Malik Fellow IEEE

  • stefany-barnette
  • 20 Slides

Abstract This paper investigates two fundamental ...

APSIM Agricultural Production Systems sIMulator Description APSIM is a modeling framework with the ability to integrate models derived in fragmented research efforts

APSIM Agricultural Production Systems sIMulator Description APSIM is a modeling framework with the ability to integrate models derived in fragmented research efforts

  • mitsue-stanley
  • 1 Slides

This enables research from one discipline or doma...

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