388 Adaboost PPTs View free & download

AdaBoost - Maximize the margin yH(x) Goal. Final classifier: Minimize. Define. with ... Can we create a good classifier using just a small subset of all possible features? ...

Maximize the margin yH(x) Goal. Final classifier: Minimize. Define. with ... Can we create a good classifier using just a small subset of all possible features? ...

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AdaBoost - Viola & Jones AdaBoost and simple features. Korea-France SafeMove Workshop ... AdaBoost was used for face, cars and pedestrian detection by viola and Jones (2000) ...

Viola & Jones AdaBoost and simple features. Korea-France SafeMove Workshop ... AdaBoost was used for face, cars and pedestrian detection by viola and Jones (2000) ...

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ADABOOST ' - Iterate for t = 1..T: ... are compute every iteration outside the weak learning) Labels Yi Y=(1,...,K) ... 4. update example weights for next iteration D(t 1) ...

Iterate for t = 1..T: ... are compute every iteration outside the weak learning) Labels Yi Y=(1,...,K) ... 4. update example weights for next iteration D(t 1) ...

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Dynamics of AdaBoost PowerPoint PPT Presentation

Dynamics of AdaBoost - Dynamics of AdaBoost Cynthia Rudin, PhD NSF Postdoc, BIO Division Center for Neural Science, NYU Joint work with Ingrid Daubechies and Robert E. Schapire

Dynamics of AdaBoost Cynthia Rudin, PhD NSF Postdoc, BIO Division Center for Neural Science, NYU Joint work with Ingrid Daubechies and Robert E. Schapire

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Adaboost for Face Detection PowerPoint PPT Presentation

Adaboost for Face Detection - Adaboost for Face Detection Slides adapted from P. Viola and Tai-Wan Yue In order to get D, subtract both 3 and 2 but that removes the values in A twice so you have ...

Adaboost for Face Detection Slides adapted from P. Viola and Tai-Wan Yue In order to get D, subtract both 3 and 2 but that removes the values in A twice so you have ...

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Dynamics of AdaBoost - A Story about AdaBoost. AdaBoost was introduced in 1997 by Yoav Freund and ... Webpage classification (search engines), email filtering, ... automatic .mp3 sorting ...

A Story about AdaBoost. AdaBoost was introduced in 1997 by Yoav Freund and ... Webpage classification (search engines), email filtering, ... automatic .mp3 sorting ...

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A Brief Introduction to Adaboost PowerPoint PPT Presentation

A Brief Introduction to Adaboost - 1. A Brief Introduction to Adaboost ... What's So Good About Adaboost. Can be used with many different classifiers ... Duda, Hart, ect Pattern Classification ...

1. A Brief Introduction to Adaboost ... What's So Good About Adaboost. Can be used with many different classifiers ... Duda, Hart, ect Pattern Classification ...

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Vehicle Detection Using Adaboost PowerPoint PPT Presentation

Vehicle Detection Using Adaboost - A target detection rate for the cascade, OR. A target false detection rate for the cascade. ... Features are not Haar-type Filters. ...

A target detection rate for the cascade, OR. A target false detection rate for the cascade. ... Features are not Haar-type Filters. ...

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Dynamics of AdaBoost - This is not easy, there are ... Webpage classification (search engines), email filtering, document retrieval ... Speech recognition, automatic .mp3 sorting ...

This is not easy, there are ... Webpage classification (search engines), email filtering, document retrieval ... Speech recognition, automatic .mp3 sorting ...

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$A new approach in the BCI research based on fractal dimension as feature and Adaboost as classifier PowerPoint PPT Presentation$

A new approach in the BCI research based on fractal dimension as feature and Adaboost as classifier - Title: PowerPoint Author: orho Last modified by: chickenrun Created Date: 12/15/2000 8:15:19 AM Document presentation format:

Title: PowerPoint Author: orho Last modified by: chickenrun Created Date: 12/15/2000 8:15:19 AM Document presentation format:

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Fast and Robust Classification using Asymmetric AdaBoost and a Detector Cascade PowerPoint PPT Presentation

Fast and Robust Classification using Asymmetric AdaBoost and a Detector Cascade - Definition of feature vectors. Asymmetric Adaboosting. Experiments and ... Definition of ... Definition: The integral image at location (x,y), is the sum of ...

Definition of feature vectors. Asymmetric Adaboosting. Experiments and ... Definition of ... Definition: The integral image at location (x,y), is the sum of ...

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Fast Object Detection Method Based on HaarLike Feature Classifier Cascade and AdaBoost Learning PowerPoint PPT Presentation

Fast Object Detection Method Based on HaarLike Feature Classifier Cascade and AdaBoost Learning - Boost Algorithm: An efficient classifier generating algorithm ... Kuranov, A Detector Tree of Boosted Classifiers for Real-time Object detection ...

Boost Algorithm: An efficient classifier generating algorithm ... Kuranov, A Detector Tree of Boosted Classifiers for Real-time Object detection ...

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Multiple Fisher Classifiers Combination for Face Recognition based on Grouping AdaBoosted Gabor Feat PowerPoint PPT Presentation

Multiple Fisher Classifiers Combination for Face Recognition based on Grouping AdaBoosted Gabor Feat - Multiple Fisher Classifiers Combination for Face Recognition based on Grouping ... Gabor filters (5 scales, 8 orientations) are exploited to convolve with the raw ...

Multiple Fisher Classifiers Combination for Face Recognition based on Grouping ... Gabor filters (5 scales, 8 orientations) are exploited to convolve with the raw ...

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A Robust Real Time Face Detection PowerPoint PPT Presentation

A Robust Real Time Face Detection - A Robust Real Time Face Detection Outline AdaBoost Learning Algorithm Face Detection in real life Using AdaBoost for Face Detection Improvements Demonstration ...

A Robust Real Time Face Detection Outline AdaBoost Learning Algorithm Face Detection in real life Using AdaBoost for Face Detection Improvements Demonstration ...

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Boosting and Additive Trees (Part 1) PowerPoint PPT Presentation

Boosting and Additive Trees (Part 1) - Boosting and Additive Trees (Part 1) Ch. 10 Presented by Tal Blum Overview Ensemble methods and motivations Describing Adaboost.M1 algorithm Show that Adaboost ...

Boosting and Additive Trees (Part 1) Ch. 10 Presented by Tal Blum Overview Ensemble methods and motivations Describing Adaboost.M1 algorithm Show that Adaboost ...

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Detecting Pedestrians by Learning Shapelet Features PowerPoint PPT Presentation

Detecting Pedestrians by Learning Shapelet Features - Edgelet features (Wu and Nevatia, ICCV 2005) ... Find those which discriminate between pedestrian and background classes. 14. AdaBoost Algorithm ...

Edgelet features (Wu and Nevatia, ICCV 2005) ... Find those which discriminate between pedestrian and background classes. 14. AdaBoost Algorithm ...

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T. Poggio, R. Rifkin, S. Mukherjee, P. Niyogi: General Conditions for Predictivity in Learning Theory PowerPoint PPT Presentation

T. Poggio, R. Rifkin, S. Mukherjee, P. Niyogi: General Conditions for Predictivity in Learning Theory - Bagging, Boosting. Regularization. Vapnik asked ... Bagging (number of regressors increasing with n) More results to come (e.g. AdaBoost) ...

Bagging, Boosting. Regularization. Vapnik asked ... Bagging (number of regressors increasing with n) More results to come (e.g. AdaBoost) ...

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Challenges in Learning the Appearance of Faces for Automated Image Analysis: part I PowerPoint PPT Presentation

Challenges in Learning the Appearance of Faces for Automated Image Analysis: part I - AdaBoost (Viola and Jones, 01) SVM: global detector (Poggio's group) ... AdaBoost (Viola & Jones) wavelet like features (computed efficiently) ...

AdaBoost (Viola and Jones, 01) SVM: global detector (Poggio's group) ... AdaBoost (Viola & Jones) wavelet like features (computed efficiently) ...

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A Brief Introduction to boosting PowerPoint PPT Presentation

A Brief Introduction to boosting - Schapire (1990) provided the first polynomial time Boosting algorithm. ... Zt is a normalization factor. AdaBoost Algorithm. Boost example if incorrectly predicted. ...

Schapire (1990) provided the first polynomial time Boosting algorithm. ... Zt is a normalization factor. AdaBoost Algorithm. Boost example if incorrectly predicted. ...

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A Machine Learning Approach Toward Effective Linkspeed Traffic Identification PowerPoint PPT Presentation

A Machine Learning Approach Toward Effective Linkspeed Traffic Identification - ... comparison between classification algorithms, Adaboost C4.5 and ... Table 1 Comparison of accuracy of algorithms given complete set of features to choose from. ...

... comparison between classification algorithms, Adaboost C4.5 and ... Table 1 Comparison of accuracy of algorithms given complete set of features to choose from. ...

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Robust Realtime Object Detection by Paul Viola and Michael Jones PowerPoint PPT Presentation

Robust Realtime Object Detection by Paul Viola and Michael Jones - Stands for 'Adaptive boost'. AdaBoost is a boosting algorithm for searching out a ... Simpler, boosted classifiers can reject many of negative sub-windows while ...

Stands for 'Adaptive boost'. AdaBoost is a boosting algorithm for searching out a ... Simpler, boosted classifiers can reject many of negative sub-windows while ...

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Boosting HMM acoustic models in large vocabulary speech recognition PowerPoint PPT Presentation

Boosting HMM acoustic models in large vocabulary speech recognition - The AdaBoost algorithm was presented for transforming a 'weak' learning rule ... provide more meaningful N-best lists consists in 'chopping' of the training data ...

The AdaBoost algorithm was presented for transforming a 'weak' learning rule ... provide more meaningful N-best lists consists in 'chopping' of the training data ...

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A simple classifier PowerPoint PPT Presentation

A simple classifier - Adds a 'ridge' term that has the effect of 'smoothing' the weights ... 3. Train with the Winnow update rule. AdaBoost for Feature Selection ...

Adds a 'ridge' term that has the effect of 'smoothing' the weights ... 3. Train with the Winnow update rule. AdaBoost for Feature Selection ...

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Hand Detection with a Cascade of Boosted Classifiers Using Haarlike Features PowerPoint PPT Presentation

Hand Detection with a Cascade of Boosted Classifiers Using Haarlike Features - Hand Detection with a Cascade of Boosted Classifiers Using Haar-like Features. Qing Chen ... AdaBoost (Adaptive Boost) is an iterative learning algorithm to ...

Hand Detection with a Cascade of Boosted Classifiers Using Haar-like Features. Qing Chen ... AdaBoost (Adaptive Boost) is an iterative learning algorithm to ...

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Zhang Yanxia PowerPoint PPT Presentation

Zhang Yanxia - Compression (e.g. Galaxy images and spectra) Classification (e.g. Stars, galaxies, or Gamma Ray Bursts) ... Based on meta learning: adaboost, boosting, bagging ...

Compression (e.g. Galaxy images and spectra) Classification (e.g. Stars, galaxies, or Gamma Ray Bursts) ... Based on meta learning: adaboost, boosting, bagging ...

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Experiments with a New Boosting Algorithm PowerPoint PPT Presentation

Experiments with a New Boosting Algorithm - Data over which the neural network is trained. Many examples are fed into the ... AdaBoost.MH uses Hamming loss, as well as updated learning algorithms, to ...

Data over which the neural network is trained. Many examples are fed into the ... AdaBoost.MH uses Hamming loss, as well as updated learning algorithms, to ...

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Data Mining: the Practice Seminar PowerPoint PPT Presentation

Data Mining: the Practice Seminar - Keywords: Piano playing, SOM, approximate string matching, evolutionary algorithms ... Aggregate Features and AdaBoost for Music Classification. ...

Keywords: Piano playing, SOM, approximate string matching, evolutionary algorithms ... Aggregate Features and AdaBoost for Music Classification. ...

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Detection of multiple, partially occluded humans in a single image by edgelet features PowerPoint PPT Presentation

Detection of multiple, partially occluded humans in a single image by edgelet features - Torso. Legs. Adaboost. Edgelet features. Positive samples and negative samples. Training classifier ... Horizontal line and vertical line. Line with slope=1 or ...

Torso. Legs. Adaboost. Edgelet features. Positive samples and negative samples. Training classifier ... Horizontal line and vertical line. Line with slope=1 or ...

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1. Stat 231. A.L. Yuille. Fall 2004 PowerPoint PPT Presentation

1. Stat 231. A.L. Yuille. Fall 2004 - ... Viola and ... In preparation for Viola and Jones. New parameter. Strong classifier ... false negatives to cost more (Viola and Jones). Use loss function: ...

... Viola and ... In preparation for Viola and Jones. New parameter. Strong classifier ... false negatives to cost more (Viola and Jones). Use loss function: ...

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Robust Real-time Face Detection by Paul Viola and Michael Jones, 2002 PowerPoint PPT Presentation

Robust Real-time Face Detection by Paul Viola and Michael Jones, 2002 - Robust Real-time Face Detection by Paul Viola and Michael Jones, 2002 Presentation by Kostantina Palla & Alfredo Kalaitzis School of Informatics University of Edinburgh

Robust Real-time Face Detection by Paul Viola and Michael Jones, 2002 Presentation by Kostantina Palla & Alfredo Kalaitzis School of Informatics University of Edinburgh

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????????? GMM???????? PowerPoint PPT Presentation

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GMM

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Boosting Methods PowerPoint PPT Presentation

Boosting Methods - Boosting approach, definition, characteristics. Early Boosting Algorithms ... constructing ensembles of decision trees: Bagging, boosting, and randomization. ...

Boosting approach, definition, characteristics. Early Boosting Algorithms ... constructing ensembles of decision trees: Bagging, boosting, and randomization. ...

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A Robust Real Time Face Detection - Face Detection (not face recognition) Face Detection in ... We analyze faces in a specific location' Robust Real-Time Face Detection. Viola and Jones, 2003 ...

Face Detection (not face recognition) Face Detection in ... We analyze faces in a specific location' Robust Real-Time Face Detection. Viola and Jones, 2003 ...

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Corporate 2 Template PowerPoint PPT Presentation

Corporate 2 Template - Retinex (Color Constancy) 2- Retinex ...

Retinex (Color Constancy) 2- Retinex ...

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Longin Jan Latecki PowerPoint PPT Presentation

Longin Jan Latecki - Title: PowerPoint Presentation Author: Latecki Last modified by: Longin Jan Latecki Created Date: 1/1/1601 12:00:00 AM Document presentation format

Title: PowerPoint Presentation Author: Latecki Last modified by: Longin Jan Latecki Created Date: 1/1/1601 12:00:00 AM Document presentation format

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by M. Nithya PowerPoint PPT Presentation

by M. Nithya - Learning Techniques for Video Shot Detection by M. Nithya Under the guidance of Prof. Sharat Chandran Outline Introduction Types of Shot-break Previous approaches to ...

Learning Techniques for Video Shot Detection by M. Nithya Under the guidance of Prof. Sharat Chandran Outline Introduction Types of Shot-break Previous approaches to ...

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Pedestrian%20Detection%20Histograms%20of%20Oriented%20Gradients%20for%20Human%20Detection%20Navneet%20Dalal%20and%20Bill%20Triggs%20CVPR%20 - Title: Slide 1 Author: School of Computer Science Last modified by: Wen-Hung Liao Created Date: 3/5/2006 4:06:46 PM Document presentation format:

Title: Slide 1 Author: School of Computer Science Last modified by: Wen-Hung Liao Created Date: 3/5/2006 4:06:46 PM Document presentation format:

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Terrain Classification with Uncertainty Suresh Lodha University of California, Santa Cruz - Terrain Classification with Uncertainty Suresh Lodha University of California, Santa Cruz

Terrain Classification with Uncertainty Suresh Lodha University of California, Santa Cruz

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Ensembles - Ensembles An ensemble is a set of classifiers whose combined results give the final decision. test feature vector classifier 1 classifier 2 classifier 3

Ensembles An ensemble is a set of classifiers whose combined results give the final decision. test feature vector classifier 1 classifier 2 classifier 3

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Boosting - Train a set of weak hypotheses: h1, ...., hT. ... A learner L that finds a weak hypothesis ht: X Y given the training set and Dt ...

Train a set of weak hypotheses: h1, ...., hT. ... A learner L that finds a weak hypothesis ht: X Y given the training set and Dt ...

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Zhuowen Tu - Ensemble Classification Methods: Bagging, Boosting, and Random Forests ... Bagging replaces the prediction of the model with the majority of the ...

Ensemble Classification Methods: Bagging, Boosting, and Random Forests ... Bagging replaces the prediction of the model with the majority of the ...

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Pedestrian Detection Histograms of Oriented Gradients for Human Detection Navneet Dalal and Bill Triggs CVPR PowerPoint PPT Presentation

Pedestrian Detection Histograms of Oriented Gradients for Human Detection Navneet Dalal and Bill Triggs CVPR - Pedestrian Detection. Histograms of Oriented Gradients for Human Detection ... Wide variety of articulated poses. Variable appearance/clothing. Complex backgrounds ...

Pedestrian Detection. Histograms of Oriented Gradients for Human Detection ... Wide variety of articulated poses. Variable appearance/clothing. Complex backgrounds ...

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Introduction%20to%20Boosting PowerPoint PPT Presentation

Introduction%20to%20Boosting - ... distribution of weights over the N training points W(xi)=1. Initially assign uniform weights W0(x) = 1 ... Find best weak classifier Ck(x) using weights Wk(x) ...

... distribution of weights over the N training points W(xi)=1. Initially assign uniform weights W0(x) = 1 ... Find best weak classifier Ck(x) using weights Wk(x) ...

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3D%20Motion%20Capture%20Assisted%20Video%20human%20motion%20recognition%20based%20on%20the%20Layered%20HMM PowerPoint PPT Presentation

3D%20Motion%20Capture%20Assisted%20Video%20human%20motion%20recognition%20based%20on%20the%20Layered%20HMM - 3D Motion Capture Assisted Video human motion recognition based on the Layered HMM Myunghoon Suk & Ashok Ramadass Advisor : Dr. B. Prabhakaran Multimedia and ...

3D Motion Capture Assisted Video human motion recognition based on the Layered HMM Myunghoon Suk & Ashok Ramadass Advisor : Dr. B. Prabhakaran Multimedia and ...

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A speech about Boosting PowerPoint PPT Presentation

A speech about Boosting - 'An effective method of producing an accurate prediction rule from ... Discriminative reranking for natural language parsing.2000. Escudero, Marquez, Rigau. ...

'An effective method of producing an accurate prediction rule from ... Discriminative reranking for natural language parsing.2000. Escudero, Marquez, Rigau. ...

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Random Forests PowerPoint PPT Presentation

Random Forests - Random split selection does better than bagging; introduction of random noise ... In each iteration, 10% of the data was split off as a test set. ...

Random split selection does better than bagging; introduction of random noise ... In each iteration, 10% of the data was split off as a test set. ...

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Lazy Bayesian Rules: A Lazy Semi-Na PowerPoint PPT Presentation

Lazy Bayesian Rules: A Lazy Semi-Na - Lazy Bayesian Rules: A Lazy Semi-Na ve Bayesian Learning Technique Competitive ... Zijian Zheng, Geoffrey I. Webb, Kai Ming Ting. Deakin University. Victoria Australia ...

Lazy Bayesian Rules: A Lazy Semi-Na ve Bayesian Learning Technique Competitive ... Zijian Zheng, Geoffrey I. Webb, Kai Ming Ting. Deakin University. Victoria Australia ...

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Examples of Ensemble Methods PowerPoint PPT Presentation

Examples of Ensemble Methods - Title: PowerPoint Presentation Last modified by: Huan Liu Created Date: 1/1/1601 12:00:00 AM Document presentation format: On-screen Show Other titles

Title: PowerPoint Presentation Last modified by: Huan Liu Created Date: 1/1/1601 12:00:00 AM Document presentation format: On-screen Show Other titles

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Introduction to Boosting PowerPoint PPT Presentation

Introduction to Boosting - Boosting: an approximation to additive modeling on the logistic scale using ... Propose more direct approximations that exhibit nearly identical results to ...

Boosting: an approximation to additive modeling on the logistic scale using ... Propose more direct approximations that exhibit nearly identical results to ...

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Aquesta - Title: Aquesta s una prova petita Author: lluism Last modified by: lluism Created Date: 5/20/1999 10:25:04 PM Document presentation format: Presentaci n en pantalla

Title: Aquesta s una prova petita Author: lluism Last modified by: lluism Created Date: 5/20/1999 10:25:04 PM Document presentation format: Presentaci n en pantalla

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Monte Carlo Hidden Markov Models PowerPoint PPT Presentation

Monte Carlo Hidden Markov Models - in 24x24 window: 180,000 possible. features. Integral Image ... 15fps on 700Mhz Laptop (=fast!)? Applications. Face detection. Car detection. Many others ...

in 24x24 window: 180,000 possible. features. Integral Image ... 15fps on 700Mhz Laptop (=fast!)? Applications. Face detection. Car detection. Many others ...

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3D%20Motion%20Capture%20Assisted%20Video%20human%20motion%20recognition%20based%20on%20the%20Layered%20HMM - Lower layered HMMs with 3D motion capture data are to estimate one of atomic ... recognizes exactly the falling-down motion with much longer time granularity ...

Lower layered HMMs with 3D motion capture data are to estimate one of atomic ... recognizes exactly the falling-down motion with much longer time granularity ...

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Fast Human Detection Using a Novel Boosted Cascading Structure With Meta Stages PowerPoint PPT Presentation

Fast Human Detection Using a Novel Boosted Cascading Structure With Meta Stages - HOG: First, the representation is too complex to evaluate, resulting in a slow detection speed. ... HOG add META than RecEOHED-Cascade. MetaCascade-2D greatest ...

HOG: First, the representation is too complex to evaluate, resulting in a slow detection speed. ... HOG add META than RecEOHED-Cascade. MetaCascade-2D greatest ...

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Review of : Yoav Freund, and Robert E. Schapire, PowerPoint PPT Presentation

Review of : Yoav Freund, and Robert E. Schapire, - Review of : Yoav Freund, and Robert E. Schapire, 'A Short Introduction to ... Michael Collins, Discriminative Reranking for Natural Language Parsing, ICML 2000 ...

Review of : Yoav Freund, and Robert E. Schapire, 'A Short Introduction to ... Michael Collins, Discriminative Reranking for Natural Language Parsing, ICML 2000 ...

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Adaboost PowerPoint PPT Presentations