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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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A Generalization of PCA to the Exponential Family Collins, Dasgupta and Schapire Presented by Guy Le PowerPoint PPT Presentation
A Generalization of PCA to the Exponential Family Collins, Dasgupta and Schapire Presented by Guy Le - Presented by Guy Lebanon. Two Viewpoints of PCA. Algebraic. Given data find a linear transformation such that the sum of squared distances ...
Presented by Guy Lebanon. Two Viewpoints of PCA. Algebraic. Given data find a linear transformation such that the sum of squared distances ...
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Bagging and Boosting Classification Trees to Predict Churn. Insights from the US Telecom Industry PowerPoint PPT Presentation
Bagging and Boosting Classification Trees to Predict Churn. Insights from the US Telecom Industry - Bagging and Boosting Classification Trees to Predict Churn. ... Bagging (Breiman 1996), Boosting (Freund and Schapire 1996), Stochastic gradient ... Bagging ...
Bagging and Boosting Classification Trees to Predict Churn. ... Bagging (Breiman 1996), Boosting (Freund and Schapire 1996), Stochastic gradient ... Bagging ...
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Bagging and Boosting in Data Mining PowerPoint PPT Presentation
Bagging and Boosting in Data Mining - Bagging (Bootstrap Aggregating) Leo Breiman, UC Berkeley. Boosting. Rob Schapire, ATT Research ... Bagging Algorithm. 1. Create k bootstrap replicates of the dataset ...
Bagging (Bootstrap Aggregating) Leo Breiman, UC Berkeley. Boosting. Rob Schapire, ATT Research ... Bagging Algorithm. 1. Create k bootstrap replicates of the dataset ...
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Voting, Meta-search, and Bioconsensus PowerPoint PPT Presentation
Voting, Meta-search, and Bioconsensus - Meta-search has been studied using consensus methods by Cohen, Schapire, and ... In meta-search, there are usually few voters and many candidates. ...
Meta-search has been studied using consensus methods by Cohen, Schapire, and ... In meta-search, there are usually few voters and many candidates. ...
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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 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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AI Foundations PowerPoint PPT Presentation
AI Foundations - The ppt describes the foundations of AI
The ppt describes the foundations of AI
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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 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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Zhuowen Tu PowerPoint PPT Presentation
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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A Robust Real Time Face Detection PowerPoint PPT Presentation
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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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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Dynamics of AdaBoost PowerPoint PPT Presentation
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 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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The walk on stretched pairs PowerPoint PPT Presentation
The walk on stretched pairs - Sparsest Cut G = (V, E) S S c- balanced separator (G) = min |E(S, S)| |S| (G) = min |E(S, S)| |S| S V S V c Both NP-hard |S| c |V|
Sparsest Cut G = (V, E) S S c- balanced separator (G) = min |E(S, S)| |S| (G) = min |E(S, S)| |S| S V S V c Both NP-hard |S| c |V|
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Learning the cis regulatory code by predictive modeling of gene regulation (MEDUSA) PowerPoint PPT Presentation
Learning the cis regulatory code by predictive modeling of gene regulation (MEDUSA) - Learning the cis regulatory code by predictive modeling of gene regulation MEDUSA
Learning the cis regulatory code by predictive modeling of gene regulation MEDUSA
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Boosting PowerPoint PPT Presentation
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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Machine Learning and Data Analytics in Semiconductor Yield Management PowerPoint PPT Presentation
Machine Learning and Data Analytics in Semiconductor Yield Management - In the semiconductor manufacturing industry, the need for continuous quality improvement has never been more pronounced. This demand is driven by an unprecedented influx of manufacturing data, with more than 1000 process parameters recorded for a single wafer, and tens of thousands of wafers being produced daily.
In the semiconductor manufacturing industry, the need for continuous quality improvement has never been more pronounced. This demand is driven by an unprecedented influx of manufacturing data, with more than 1000 process parameters recorded for a single wafer, and tens of thousands of wafers being produced daily.
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Boosting PowerPoint PPT Presentation
Boosting - Thanks to Citeseer and : A Short Introduction to Boosting. ... Eg, boosted Na ve Bayes usually beats Na ve Bayes. Boosted decision trees are ...
Thanks to Citeseer and : A Short Introduction to Boosting. ... Eg, boosted Na ve Bayes usually beats Na ve Bayes. Boosted decision trees are ...
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Dynamics of AdaBoost PowerPoint PPT Presentation
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 BlackBox approach to machine learning PowerPoint PPT Presentation
A BlackBox approach to machine learning - Freund, Mason, Rogers, Pregibon, Cortes 2000 ... Saved AT&T 15M$ in the year 2000 in operations costs and missed opportunities. Score ...
Freund, Mason, Rogers, Pregibon, Cortes 2000 ... Saved AT&T 15M$ in the year 2000 in operations costs and missed opportunities. Score ...
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Protein Classification Using Averaged Perceptron SVM PowerPoint PPT Presentation
Protein Classification Using Averaged Perceptron SVM - CS6772 Project Presentation 12/03/2003 Protein Classification Using Averaged Perceptron SVM Eugene Ie Protein Sequence Classification Protein = ( )* | | = 20 amino ...
CS6772 Project Presentation 12/03/2003 Protein Classification Using Averaged Perceptron SVM Eugene Ie Protein Sequence Classification Protein = ( )* | | = 20 amino ...
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A Platform for Personal Information Management and Integration PowerPoint PPT Presentation
A Platform for Personal Information Management and Integration - A Platform for Personal Information Management and Integration. Xin (Luna) Dong and ... Find my SEMEX paper and the presentation s (maybe in an attachment) ...
A Platform for Personal Information Management and Integration. Xin (Luna) Dong and ... Find my SEMEX paper and the presentation s (maybe in an attachment) ...
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Why does averaging work PowerPoint PPT Presentation
Why does averaging work - Adds one coordinate ('weak learner') at each iteration. ... Can over-fit, cross validation used to stop. Freund, Mason, Rogers, Pregibon, Cortes 2000 ...
Adds one coordinate ('weak learner') at each iteration. ... Can over-fit, cross validation used to stop. Freund, Mason, Rogers, Pregibon, Cortes 2000 ...
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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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Collaborative Filtering: A Tutorial PowerPoint PPT Presentation
Collaborative Filtering: A Tutorial - ... group of people who share characteristics and interact in essence or ... vs memory-based techniques, LIBRA builds an explicit model of the user's tastes ...
... group of people who share characteristics and interact in essence or ... vs memory-based techniques, LIBRA builds an explicit model of the user's tastes ...
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Agnostically Learning Decision Trees PowerPoint PPT Presentation
Agnostically Learning Decision Trees - Title: PowerPoint Presentation Last modified by: Parikshit Gopalan Created Date: 1/1/1601 12:00:00 AM Document presentation format: On-screen Show
Title: PowerPoint Presentation Last modified by: Parikshit Gopalan Created Date: 1/1/1601 12:00:00 AM Document presentation format: On-screen Show
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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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Collaborative Filtering: A Tutorial PowerPoint PPT Presentation
Collaborative Filtering: A Tutorial - Conclusions/Summary. BellCore's MovieRecommender ... LIBRA Book Recommender ... LIBRA Book Recommender. LIBRA-NR = no related author/title features ...
Conclusions/Summary. BellCore's MovieRecommender ... LIBRA Book Recommender ... LIBRA Book Recommender. LIBRA-NR = no related author/title features ...
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Online Learning of Maximum Margin Classifiers PowerPoint PPT Presentation
Online Learning of Maximum Margin Classifiers - Online Learning of. Maximum Margin Classifiers. Kohei ... For p=O(ln n) [Gentile '03], similar to Winnow [Littlestone 89]. Fast when the target is sparse. ...
Online Learning of. Maximum Margin Classifiers. Kohei ... For p=O(ln n) [Gentile '03], similar to Winnow [Littlestone 89]. Fast when the target is sparse. ...
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Lecture 3: Perceptron PowerPoint PPT Presentation
Lecture 3: Perceptron - sepal length. sepal width. petal length. petal width. Three classes (species of ... Features 1 and 2 (sepal width/length) Features 3 and 4 (petal width/length) ...
sepal length. sepal width. petal length. petal width. Three classes (species of ... Features 1 and 2 (sepal width/length) Features 3 and 4 (petal width/length) ...
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Recovering Occlusion Boundaries from a Single Image PowerPoint PPT Presentation
Recovering Occlusion Boundaries from a Single Image - Recovering Occlusion Boundaries from a Single Image
Recovering Occlusion Boundaries from a Single Image
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Maximum Entropy modelling of species geographic distributions PowerPoint PPT Presentation
Maximum Entropy modelling of species geographic distributions - Vireo. 3. Estimating a probability distribution. Given: Map divided into n cells. m localities are samples from an unknown distribution ...
Vireo. 3. Estimating a probability distribution. Given: Map divided into n cells. m localities are samples from an unknown distribution ...
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FilterBoost: Regression and Classification on Large Datasets PowerPoint PPT Presentation
FilterBoost: Regression and Classification on Large Datasets - The booster must always have access to the ... This limits their applications: e.g. Classify all websites on ... Truncated exponential weights work for ...
The booster must always have access to the ... This limits their applications: e.g. Classify all websites on ... Truncated exponential weights work for ...
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Machine Learning: Learning finite state environments PowerPoint PPT Presentation
Machine Learning: Learning finite state environments - Can we use CS perspective to help us understand what learning is? ... Say we are a baby trying to figure out the effects our actions have on our environment...
Can we use CS perspective to help us understand what learning is? ... Say we are a baby trying to figure out the effects our actions have on our environment...
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Semex: A Platform for Personal Information Management and Integration PowerPoint PPT Presentation
Semex: A Platform for Personal Information Management and Integration - Semex: A Platform for Personal Information Management and Integration ... papers and presentation s (maybe in an attachment) ... What are the emails sent ...
Semex: A Platform for Personal Information Management and Integration ... papers and presentation s (maybe in an attachment) ... What are the emails sent ...
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Regression Using Boosting PowerPoint PPT Presentation
Regression Using Boosting - Regression Using Boosting
Regression Using Boosting
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what is an ensemble PowerPoint PPT Presentation
what is an ensemble - ... of train set. create classifier using train' as training set ... generate classifierk with current weighted train set k = sum of wi's of misclassified points ...
... of train set. create classifier using train' as training set ... generate classifierk with current weighted train set k = sum of wi's of misclassified points ...
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Agnostically Learning Decision Trees PowerPoint PPT Presentation
Agnostically Learning Decision Trees - Agnostically Learning Decision Trees. Parikshit Gopalan MSR-Silicon ... Pay 1 for indecision. Pay 2 for a mistake. Agnostic Learning via l1 Regression? -1 ...
Agnostically Learning Decision Trees. Parikshit Gopalan MSR-Silicon ... Pay 1 for indecision. Pay 2 for a mistake. Agnostic Learning via l1 Regression? -1 ...
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Bias/Variance Tradeoff PowerPoint PPT Presentation
Bias/Variance Tradeoff - BiasVariance Tradeoff
BiasVariance Tradeoff
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Regression trees and regression graphs: Efficient estimators for Generalized Additive Models PowerPoint PPT Presentation
Regression trees and regression graphs: Efficient estimators for Generalized Additive Models - Regression trees and regression graphs: Efficient estimators for. Generalized ... Greedily choose leaf and split x(j) to minimize (RT,train) = (RT(xi)-yi)2/n ...
Regression trees and regression graphs: Efficient estimators for. Generalized ... Greedily choose leaf and split x(j) to minimize (RT,train) = (RT(xi)-yi)2/n ...
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Experience-Oriented Artificial Intelligence PowerPoint PPT Presentation
Experience-Oriented Artificial Intelligence - Experience-Oriented Artificial Intelligence Rich Sutton with special thanks to Michael Littman, Doina Precup, Satinder Singh, David McAllester, Peter Stone, Lawrence ...
Experience-Oriented Artificial Intelligence Rich Sutton with special thanks to Michael Littman, Doina Precup, Satinder Singh, David McAllester, Peter Stone, Lawrence ...
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Boosting PowerPoint PPT Presentation
Boosting - Bagging does not modify the weight distribution over examples or mislabels, but ... In forming the final hypothesis, bagging gives equal weight to each of the ...
Bagging does not modify the weight distribution over examples or mislabels, but ... In forming the final hypothesis, bagging gives equal weight to each of the ...
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A Survey on Text Categorization with Machine Learning PowerPoint PPT Presentation
A Survey on Text Categorization with Machine Learning - Title: PowerPoint Presentation Last modified by: STD Created Date: 1/1/1601 12:00:00 AM Document presentation format: Other titles
Title: PowerPoint Presentation Last modified by: STD Created Date: 1/1/1601 12:00:00 AM Document presentation format: Other titles
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Lecture 15: Eigenfaces PowerPoint PPT Presentation
Lecture 15: Eigenfaces - Noah Snavely Lecture 15: Eigenfaces CS6670: Computer Vision Perceptual and Sensory Augmented Computing Visual Object Recognition Tutorial Visual Object Recognition ...
Noah Snavely Lecture 15: Eigenfaces CS6670: Computer Vision Perceptual and Sensory Augmented Computing Visual Object Recognition Tutorial Visual Object Recognition ...
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IE With Undirected Models: the saga continues PowerPoint PPT Presentation
IE With Undirected Models: the saga continues - IE With Undirected Models: the saga continues William W. Cohen CALD
IE With Undirected Models: the saga continues William W. Cohen CALD
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Multiplicative weights method: A meta algorithm with applications to linear and semi-definite programming PowerPoint PPT Presentation
Multiplicative weights method: A meta algorithm with applications to linear and semi-definite programming - Multiplicative weights method: ... Potential: t = Sum of weights= i wit (initially n) ... Payoff: (for weights di,j on experts) ...
Multiplicative weights method: ... Potential: t = Sum of weights= i wit (initially n) ... Payoff: (for weights di,j on experts) ...
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CS 391L: Machine Learning: Ensembles PowerPoint PPT Presentation
CS 391L: Machine Learning: Ensembles - ... Boosting provides a larger increase in accuracy than Bagging. ... Bagging more consistently provides a modest improvement. ... Combining Boosting and Bagging. ...
... Boosting provides a larger increase in accuracy than Bagging. ... Bagging more consistently provides a modest improvement. ... Combining Boosting and Bagging. ...
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Identifying Local Corrections in Human-Computer Dialogue PowerPoint PPT Presentation
Identifying Local Corrections in Human-Computer Dialogue - SER still high for conversational speech. Error resolution is crucial ... Corpus: 2000, 2001 Communicator Eval'n. Telephone-only interface to travel information ...
SER still high for conversational speech. Error resolution is crucial ... Corpus: 2000, 2001 Communicator Eval'n. Telephone-only interface to travel information ...
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AdaBoost PowerPoint PPT Presentation
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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A Survey of Boosting HMM Acoustic Model Training PowerPoint PPT Presentation
A Survey of Boosting HMM Acoustic Model Training - In bagging, generating complementary base-learners is left to chance and to the ... In each round, bagging randomly selects a number of examples from the original ...
In bagging, generating complementary base-learners is left to chance and to the ... In each round, bagging randomly selects a number of examples from the original ...
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Detecting Pedestrians Using Patterns of Motion and Appearance Viola PowerPoint PPT Presentation
Detecting Pedestrians Using Patterns of Motion and Appearance Viola - Detecting Pedestrians Using Patterns of Motion and Appearance (Viola & Jones) ... of a state of the art pedestrian detection system which operates on low-res ...
Detecting Pedestrians Using Patterns of Motion and Appearance (Viola & Jones) ... of a state of the art pedestrian detection system which operates on low-res ...
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Aquesta PowerPoint PPT Presentation
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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Supervised and semi-supervised learning for NLP PowerPoint PPT Presentation
Supervised and semi-supervised learning for NLP - John Blitzer http://research.microsoft.com/asia/group/nlc/ Minimize the norm of the weight vector With fixed margin for each example We can t ...
John Blitzer http://research.microsoft.com/asia/group/nlc/ Minimize the norm of the weight vector With fixed margin for each example We can t ...
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Sliding window detection PowerPoint PPT Presentation
Sliding window detection - Sliding window detection
Sliding window detection
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