ABOUT HUGUES TALBOT

About Hugues Talbot. Teacher and researcher. Teaching. Currently I’m a professor of AI and Computer Vision at CentraleSupélec. Computer vision is a very wide area. These days I mostly teach applied mathematics subjects such as Mathematical Optimisation RESEARCH - HUGUES TALBOT / ACADEMIC WEB PAGESSEE MORE ON HUGUES-TALBOT.GITHUB.IO CV - HUGUES TALBOT / ACADEMIC WEB PAGES CV Education. 1989: Engineering degree from Ecole Centrale de Paris; 1990: M.S from Universite Pierre et Marie Curie; 1993: Ph.D in Mathematical Morphology from Ecole des Mines de Paris. Advisors: Jean Serra, Dominique Jeulin, Linn W. Hobbs 2013: Habilitation in Image Processing from Universite Paris-Est Work experience. 2018-present: Full Professor, CentraleSupélec, Universit´ Paris Saclay HOBBIES - HUGUES TALBOT / ACADEMIC WEB PAGES Hobbies My hobbies / activities. I’m an avid reader. One of my favourite series of books is the discworld set of novels. They are both funny and deeply philosophical. Its author, Terry Pratchett, recently passed away (in 2015).I wish that progress in medical imaging, to which I contribute, would have been more helpful in his case.. I love cinema. TEACHING - HUGUES TALBOT / ACADEMIC WEB PAGES Big Data - Technology and Applications . Full course, Centrale Supelec - ESSEC, 2019 Big Data - Distributed computing and databases MARKDOWN - HUGUES TALBOT / ACADEMIC WEB PAGES Definition Lists Definition List Title Definition list division. Startup A startup company or startup is a company or temporary organization designed to search for a repeatable and scalable business

model.

DISCRETE OPTIMISATION Discrete Optimisation. Full course, Centrale Supelec, 2018 Discrete Optimisation. Discrete optimisation is a very large topic, that includes in particular ways to formulate and solve combinatorial search and enumeration problem, which are ubiquitous in Computer Science, Applied Mathematics, Operational Research, Machine Learning,

and more.

BIG DATA TUTORIAL 1: DISTRIBUTED WORDCOUNT Big Data Tutorial 1: distributed wordcount Hugues Talbot November 18, 2019 1 Big data tutorial 1 1.1 Wordcount on Hadoop using Python Lesson 1, Introduction to Map/Reduce Module, Running Wordcount with

streaming, using

MODELLING AND SOLVING ENGLISH PEG SOLITAIRE Figure 1: The Solitaire board and rst and last states of central Solitaire. a) b) Figure 2: Making a move in Solitaire. 1 Introduction Peg Solitaire1 is played on a board with a number of holes. We

consider the En-

INTEGER LINEAR PROGRAMMING IP Resolution Solution branch-and-bound General Algorithm Problèmes classiques Conclusion Initial formulation • Consider a linear “relaxation” of an IP problem. This is the corresponding LP for which the optimal solution is X∗. • If X∗ is integer, this is the optimal solution. • If it is not, X∗ is fractionnary . • Consider the basis corresponding to the LP optimal

ABOUT HUGUES TALBOT

About Hugues Talbot. Teacher and researcher. Teaching. Currently I’m a professor of AI and Computer Vision at CentraleSupélec. Computer vision is a very wide area. These days I mostly teach applied mathematics subjects such as Mathematical Optimisation RESEARCH - HUGUES TALBOT / ACADEMIC WEB PAGESSEE MORE ON HUGUES-TALBOT.GITHUB.IO CV - HUGUES TALBOT / ACADEMIC WEB PAGES CV Education. 1989: Engineering degree from Ecole Centrale de Paris; 1990: M.S from Universite Pierre et Marie Curie; 1993: Ph.D in Mathematical Morphology from Ecole des Mines de Paris. Advisors: Jean Serra, Dominique Jeulin, Linn W. Hobbs 2013: Habilitation in Image Processing from Universite Paris-Est Work experience. 2018-present: Full Professor, CentraleSupélec, Universit´ Paris Saclay HOBBIES - HUGUES TALBOT / ACADEMIC WEB PAGES Hobbies My hobbies / activities. I’m an avid reader. One of my favourite series of books is the discworld set of novels. They are both funny and deeply philosophical. Its author, Terry Pratchett, recently passed away (in 2015).I wish that progress in medical imaging, to which I contribute, would have been more helpful in his case.. I love cinema. TEACHING - HUGUES TALBOT / ACADEMIC WEB PAGES Big Data - Technology and Applications . Full course, Centrale Supelec - ESSEC, 2019 Big Data - Distributed computing and databases MARKDOWN - HUGUES TALBOT / ACADEMIC WEB PAGES Definition Lists Definition List Title Definition list division. Startup A startup company or startup is a company or temporary organization designed to search for a repeatable and scalable business

model.

DISCRETE OPTIMISATION Discrete Optimisation. Full course, Centrale Supelec, 2018 Discrete Optimisation. Discrete optimisation is a very large topic, that includes in particular ways to formulate and solve combinatorial search and enumeration problem, which are ubiquitous in Computer Science, Applied Mathematics, Operational Research, Machine Learning,

and more.

BIG DATA TUTORIAL 1: DISTRIBUTED WORDCOUNT Big Data Tutorial 1: distributed wordcount Hugues Talbot November 18, 2019 1 Big data tutorial 1 1.1 Wordcount on Hadoop using Python Lesson 1, Introduction to Map/Reduce Module, Running Wordcount with

streaming, using

MODELLING AND SOLVING ENGLISH PEG SOLITAIRE Figure 1: The Solitaire board and rst and last states of central Solitaire. a) b) Figure 2: Making a move in Solitaire. 1 Introduction Peg Solitaire1 is played on a board with a number of holes. We

consider the En-

INTEGER LINEAR PROGRAMMING IP Resolution Solution branch-and-bound General Algorithm Problèmes classiques Conclusion Initial formulation • Consider a linear “relaxation” of an IP problem. This is the corresponding LP for which the optimal solution is X∗. • If X∗ is integer, this is the optimal solution. • If it is not, X∗ is fractionnary . • Consider the basis corresponding to the LP optimal TEACHING - HUGUES TALBOT / ACADEMIC WEB PAGES Big Data - Technology and Applications . Full course, Centrale Supelec - ESSEC, 2019 Big Data - Distributed computing and databases ARTIFICIAL INTELLIGENCE This course is part of the MSTM Master Specialized in Technology Management. Help. Throughout the course, support, help, videos, supplementary material, further examples and general communication is supported on a Slack Workspace.

POSTS BY CATEGORY

Prof. Hugues Talbot. Professor at CentraleSupelec, Universite Paris-Saclay, researcher in computer vision TALKS AND PRESENTATIONS Invited talk at DGCI 2016 . April 20, 2016. Talk, Nantes, France, Nantes, France. I was invited not so long ago to give at talk at DGCI

2016

MARKDOWN - HUGUES TALBOT / ACADEMIC WEB PAGES Definition Lists Definition List Title Definition list division. Startup A startup company or startup is a company or temporary organization designed to search for a repeatable and scalable business

model.

TERMS AND PRIVACY POLICY Prof. Hugues Talbot. Professor at CentraleSupelec, Universite Paris-Saclay, researcher in computer vision

SEGMENTATION

Segmentation. Lecture, Centrale Supelec, 2019 Image Segmentation. This is a one-off lecture on image segmentation. Image segmentation is the art/science of delineating objects in images (in 2D/3D etc). BIG DATA - TECHNOLOGY AND APPLICATIONS - HUGUES TALBOT This course is part of the MSc Data Science and Business Analytics offered by Essec Business School and CentraleSupelec. Big Data is much more than a buzzword, it is a set of distributed computing techniques allowing developers to solve practical problems at a THE SIMPLEX ALGORITHM Linear algebra The simplex algorithm Summary The famous diet problem • We want to follow a diet (regimen) that imposes to eat from the 4 fundamental groups : chocolate, ice-cream, soda and cake. • A chocolate bar costs 50 centimes, an ice-cream scoop costs 20 CENTRALESUPELEC 2019-2020 MSC DSBA / DATA SCIENCES BIG CentraleSupelec 2019-2020 MSC DSBA / DATA SCIENCES Big Data Algorithms, Techniques and Platforms Distributed Databases Hadoop

Applications and

ABOUT HUGUES TALBOT

About Hugues Talbot. Teacher and researcher. Teaching. Currently I’m a professor of AI and Computer Vision at CentraleSupélec. Computer vision is a very wide area. These days I mostly teach applied mathematics subjects such as Mathematical Optimisation RESEARCH - HUGUES TALBOT / ACADEMIC WEB PAGESSEE MORE ON HUGUES-TALBOT.GITHUB.IO CV - HUGUES TALBOT / ACADEMIC WEB PAGES CV Education. 1989: Engineering degree from Ecole Centrale de Paris; 1990: M.S from Universite Pierre et Marie Curie; 1993: Ph.D in Mathematical Morphology from Ecole des Mines de Paris. Advisors: Jean Serra, Dominique Jeulin, Linn W. Hobbs 2013: Habilitation in Image Processing from Universite Paris-Est Work experience. 2018-present: Full Professor, CentraleSupélec, Universit´ Paris Saclay HOBBIES - HUGUES TALBOT / ACADEMIC WEB PAGES Hobbies My hobbies / activities. I’m an avid reader. One of my favourite series of books is the discworld set of novels. They are both funny and deeply philosophical. Its author, Terry Pratchett, recently passed away (in 2015).I wish that progress in medical imaging, to which I contribute, would have been more helpful in his case.. I love cinema. TEACHING - HUGUES TALBOT / ACADEMIC WEB PAGES Big Data - Technology and Applications . Full course, Centrale Supelec - ESSEC, 2019 Big Data - Distributed computing and databases

ABOUT HUGUES TALBOT

About Hugues Talbot. Teacher and researcher. Teaching. Currently I’m a professor of AI and Computer Vision at CentraleSupélec. Computer vision is a very wide area. These days I mostly teach applied mathematics subjects such as Mathematical Optimisation RESEARCH - HUGUES TALBOT / ACADEMIC WEB PAGESSEE MORE ON HUGUES-TALBOT.GITHUB.IO CV - HUGUES TALBOT / ACADEMIC WEB PAGES CV Education. 1989: Engineering degree from Ecole Centrale de Paris; 1990: M.S from Universite Pierre et Marie Curie; 1993: Ph.D in Mathematical Morphology from Ecole des Mines de Paris. Advisors: Jean Serra, Dominique Jeulin, Linn W. Hobbs 2013: Habilitation in Image Processing from Universite Paris-Est Work experience. 2018-present: Full Professor, CentraleSupélec, Universit´ Paris Saclay HOBBIES - HUGUES TALBOT / ACADEMIC WEB PAGES Hobbies My hobbies / activities. I’m an avid reader. One of my favourite series of books is the discworld set of novels. They are both funny and deeply philosophical. Its author, Terry Pratchett, recently passed away (in 2015).I wish that progress in medical imaging, to which I contribute, would have been more helpful in his case.. I love cinema. TEACHING - HUGUES TALBOT / ACADEMIC WEB PAGES Big Data - Technology and Applications . Full course, Centrale Supelec - ESSEC, 2019 Big Data - Distributed computing and databases TALKS AND PRESENTATIONS Invited talk at DGCI 2016 . April 20, 2016. Talk, Nantes, France, Nantes, France. I was invited not so long ago to give at talk at DGCI

2016

BIG DATA TUTORIAL 1: DISTRIBUTED WORDCOUNT Big Data Tutorial 1: distributed wordcount Hugues Talbot November 18, 2019 1 Big data tutorial 1 1.1 Wordcount on Hadoop using Python Lesson 1, Introduction to Map/Reduce Module, Running Wordcount with

streaming, using

MODELLING AND SOLVING ENGLISH PEG SOLITAIRE Figure 1: The Solitaire board and rst and last states of central Solitaire. a) b) Figure 2: Making a move in Solitaire. 1 Introduction Peg Solitaire1 is played on a board with a number of holes. We

consider the En-

PEG PROBLEMS FOR SOLITAIRE BASED ALGORITHMS INTEGER Figure 3: an example of a jump Figure 1: starting configuration example Figure2: finishing configuration example $\bullet$ implies a

holea with peg. and

INTEGER LINEAR PROGRAMMING IP Resolution Solution branch-and-bound General Algorithm Problèmes classiques Conclusion Initial formulation • Consider a linear “relaxation” of an IP problem. This is the corresponding LP for which the optimal solution is X∗. • If X∗ is integer, this is the optimal solution. • If it is not, X∗ is fractionnary . • Consider the basis corresponding to the LP optimal TEACHING - HUGUES TALBOT / ACADEMIC WEB PAGES Big Data - Technology and Applications . Full course, Centrale Supelec - ESSEC, 2019 Big Data - Distributed computing and databases TALKS AND PRESENTATIONS Invited talk at DGCI 2016 . April 20, 2016. Talk, Nantes, France, Nantes, France. I was invited not so long ago to give at talk at DGCI

2016

POSTS BY CATEGORY

Prof. Hugues Talbot. Professor at CentraleSupelec, Universite Paris-Saclay, researcher in computer vision ARTIFICIAL INTELLIGENCE This course is part of the MSTM Master Specialized in Technology Management. Help. Throughout the course, support, help, videos, supplementary material, further examples and general communication is supported on a Slack Workspace. MARKDOWN - HUGUES TALBOT / ACADEMIC WEB PAGES Definition Lists Definition List Title Definition list division. Startup A startup company or startup is a company or temporary organization designed to search for a repeatable and scalable business

model.

FORMULATION HUGUES TALBOT Introduction Some examples of problems and formulations Conclusion Example • Maximize z =x1 +x2 • with −2x1 + 2x2 ≥ 1 −8x1 +10x2 ≤ 13 • and x1,x2 ≥ 0 • With the simplex, the real number optimum is {x1 =4,x2 =9/2}. • If the x i are constrainted to be integers, the optimum is {x1 =1,x2 =2} (very different !) • How can we move from the real to the integer solution ? LINEAR PROGRAMMING HUGUES TALBOT Introduction Linear programming problem Summary Dog food • Let there be a company manufacturing dog food. They make two products: Wag-Tail (W) and Bark-Mad (B). • Each of those item uses a mix of Vegetables, Beef and Fish, in the following proportions: Ingredient Total Qty Qty

in B Qty in W

THE SIMPLEX ALGORITHM Linear algebra The simplex algorithm Summary The famous diet problem • We want to follow a diet (regimen) that imposes to eat from the 4 fundamental groups : chocolate, ice-cream, soda and cake. • A chocolate bar costs 50 centimes, an ice-cream scoop costs 20

LINEAR PROGRAMMING

Initial Basis Variables that can be negative Duality Not studied Find an initial solution • Let an orange juice manufacture, that sells a drink made of soda and orange juice ; • Each dl of soda contains 0.05kg of sugar and 1g of vitamin C ; • Each dl of orange juice contains 0.025kg of sugar and 3g of vitamin C ; • Each dl of soda costs 2 centimes and each dl of orange WHAT ENERGY FUNCTIONS CAN BE MINIMIZED VIA GRAPH CUTS What Energy Functions Can Be Minimized via Graph Cuts? Vladimir Kolmogorov, Member, IEEE, and Ramin Zabih, Member, IEEE Abstract—In the last few years, several new algorithms based on graph cuts have been developed to solve energy minimization

ABOUT HUGUES TALBOT

About Hugues Talbot. Teacher and researcher. Teaching. Currently I’m a professor of AI and Computer Vision at CentraleSupélec. Computer vision is a very wide area. These days I mostly teach applied mathematics subjects such as Mathematical Optimisation RESEARCH - HUGUES TALBOT / ACADEMIC WEB PAGESSEE MORE ON HUGUES-TALBOT.GITHUB.IO CV - HUGUES TALBOT / ACADEMIC WEB PAGES CV Education. 1989: Engineering degree from Ecole Centrale de Paris; 1990: M.S from Universite Pierre et Marie Curie; 1993: Ph.D in Mathematical Morphology from Ecole des Mines de Paris. Advisors: Jean Serra, Dominique Jeulin, Linn W. Hobbs 2013: Habilitation in Image Processing from Universite Paris-Est Work experience. 2018-present: Full Professor, CentraleSupélec, Universit´ Paris Saclay HOBBIES - HUGUES TALBOT / ACADEMIC WEB PAGES Hobbies My hobbies / activities. I’m an avid reader. One of my favourite series of books is the discworld set of novels. They are both funny and deeply philosophical. Its author, Terry Pratchett, recently passed away (in 2015).I wish that progress in medical imaging, to which I contribute, would have been more helpful in his case.. I love cinema. TEACHING - HUGUES TALBOT / ACADEMIC WEB PAGES Big Data - Technology and Applications . Full course, Centrale Supelec - ESSEC, 2019 Big Data - Distributed computing and databases TALKS AND PRESENTATIONS Invited talk at DGCI 2016 . April 20, 2016. Talk, Nantes, France, Nantes, France. I was invited not so long ago to give at talk at DGCI

2016

BIG DATA TUTORIAL 1: DISTRIBUTED WORDCOUNT Big Data Tutorial 1: distributed wordcount Hugues Talbot November 18, 2019 1 Big data tutorial 1 1.1 Wordcount on Hadoop using Python Lesson 1, Introduction to Map/Reduce Module, Running Wordcount with

streaming, using

MODELLING AND SOLVING ENGLISH PEG SOLITAIRE Figure 1: The Solitaire board and rst and last states of central Solitaire. a) b) Figure 2: Making a move in Solitaire. 1 Introduction Peg Solitaire1 is played on a board with a number of holes. We

consider the En-

PEG PROBLEMS FOR SOLITAIRE BASED ALGORITHMS INTEGER Figure 3: an example of a jump Figure 1: starting configuration example Figure2: finishing configuration example $\bullet$ implies a

holea with peg. and

INTEGER LINEAR PROGRAMMING IP Resolution Solution branch-and-bound General Algorithm Problèmes classiques Conclusion Initial formulation • Consider a linear “relaxation” of an IP problem. This is the corresponding LP for which the optimal solution is X∗. • If X∗ is integer, this is the optimal solution. • If it is not, X∗ is fractionnary . • Consider the basis corresponding to the LP optimal

ABOUT HUGUES TALBOT

About Hugues Talbot. Teacher and researcher. Teaching. Currently I’m a professor of AI and Computer Vision at CentraleSupélec. Computer vision is a very wide area. These days I mostly teach applied mathematics subjects such as Mathematical Optimisation RESEARCH - HUGUES TALBOT / ACADEMIC WEB PAGESSEE MORE ON HUGUES-TALBOT.GITHUB.IO CV - HUGUES TALBOT / ACADEMIC WEB PAGES CV Education. 1989: Engineering degree from Ecole Centrale de Paris; 1990: M.S from Universite Pierre et Marie Curie; 1993: Ph.D in Mathematical Morphology from Ecole des Mines de Paris. Advisors: Jean Serra, Dominique Jeulin, Linn W. Hobbs 2013: Habilitation in Image Processing from Universite Paris-Est Work experience. 2018-present: Full Professor, CentraleSupélec, Universit´ Paris Saclay HOBBIES - HUGUES TALBOT / ACADEMIC WEB PAGES Hobbies My hobbies / activities. I’m an avid reader. One of my favourite series of books is the discworld set of novels. They are both funny and deeply philosophical. Its author, Terry Pratchett, recently passed away (in 2015).I wish that progress in medical imaging, to which I contribute, would have been more helpful in his case.. I love cinema. TEACHING - HUGUES TALBOT / ACADEMIC WEB PAGES Big Data - Technology and Applications . Full course, Centrale Supelec - ESSEC, 2019 Big Data - Distributed computing and databases TALKS AND PRESENTATIONS Invited talk at DGCI 2016 . April 20, 2016. Talk, Nantes, France, Nantes, France. I was invited not so long ago to give at talk at DGCI

2016

BIG DATA TUTORIAL 1: DISTRIBUTED WORDCOUNT Big Data Tutorial 1: distributed wordcount Hugues Talbot November 18, 2019 1 Big data tutorial 1 1.1 Wordcount on Hadoop using Python Lesson 1, Introduction to Map/Reduce Module, Running Wordcount with

streaming, using

MODELLING AND SOLVING ENGLISH PEG SOLITAIRE Figure 1: The Solitaire board and rst and last states of central Solitaire. a) b) Figure 2: Making a move in Solitaire. 1 Introduction Peg Solitaire1 is played on a board with a number of holes. We

consider the En-

PEG PROBLEMS FOR SOLITAIRE BASED ALGORITHMS INTEGER Figure 3: an example of a jump Figure 1: starting configuration example Figure2: finishing configuration example $\bullet$ implies a

holea with peg. and

INTEGER LINEAR PROGRAMMING IP Resolution Solution branch-and-bound General Algorithm Problèmes classiques Conclusion Initial formulation • Consider a linear “relaxation” of an IP problem. This is the corresponding LP for which the optimal solution is X∗. • If X∗ is integer, this is the optimal solution. • If it is not, X∗ is fractionnary . • Consider the basis corresponding to the LP optimal RESEARCH - HUGUES TALBOT / ACADEMIC WEB PAGES Artificial Intelligence (AI) is a very popular and hot research topic at present. In the context of computer vision, AI is useful for detecting and classifying regions of interests in images (objects). This is important in many contexts, for example in medicine; but also in bio-medicine (cellular imaging) and many other contexts. Medical

imaging.

TEACHING - HUGUES TALBOT / ACADEMIC WEB PAGES Big Data - Technology and Applications . Full course, Centrale Supelec - ESSEC, 2019 Big Data - Distributed computing and databases PORTFOLIO - HUGUES TALBOT / ACADEMIC WEB PAGES Portfolio. In this section I shall post some interesting links to a few past and present projects I have been involved with. Recent projects. The ANR Vivabrain project. The RORPO operator was a useful contribution from this project.; These videos show the results of this

POSTS BY CATEGORY

Prof. Hugues Talbot. Professor at CentraleSupelec, Universite Paris-Saclay, researcher in computer vision

PUBLICATIONS

Publications. These days it makes little sense to create publications lists by hand. There are so many great tools ! Here is a list of sites where you can find my publications: MARKDOWN - HUGUES TALBOT / ACADEMIC WEB PAGES Definition Lists Definition List Title Definition list division. Startup A startup company or startup is a company or temporary organization designed to search for a repeatable and scalable business

model.

TERMS AND PRIVACY POLICY Prof. Hugues Talbot. Professor at CentraleSupelec, Universite Paris-Saclay, researcher in computer vision LINEAR PROGRAMMING HUGUES TALBOT Introduction Linear programming problem Summary Dog food • Let there be a company manufacturing dog food. They make two products: Wag-Tail (W) and Bark-Mad (B). • Each of those item uses a mix of Vegetables, Beef and Fish, in the following proportions: Ingredient Total Qty Qty

in B Qty in W

LINEAR PROGRAMMING

Initial Basis Variables that can be negative Duality Not studied Find an initial solution • Let an orange juice manufacture, that sells a drink made of soda and orange juice ; • Each dl of soda contains 0.05kg of sugar and 1g of vitamin C ; • Each dl of orange juice contains 0.025kg of sugar and 3g of vitamin C ; • Each dl of soda costs 2 centimes and each dl of orange

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PROF. HUGUES TALBOT

Professor at CentraleSupelec, Universite Paris-Saclay, researcher in

computer vision

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* __ https://www.centralesupelec.fr/

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ABOUT HUGUES TALBOT

TEACHER AND RESEARCHER

TEACHING

Currently I’m a professor of AI and Computer Vision at CentraleSupélec . Computer vision is a very wide area. These days I mostly teach applied mathematics subjects such as Mathematical Optimisation

as well as

image and computer-vision related fields. In the past I have taught more traditionally computer-related topics such as

computer languages

and operating

systems . You can

learn about my teaching in the teaching tab above.

RESEARCH

Scientific Research is incredibly important. To me as a person, because this is what I’ve always dreamt of doing, and, I believe, to society because this activity allows us to understand the world around us: how it came about, what are its constituant, and how it works. My area of research is computer vision

: teaching the

computers to see. This area of research is at the forefront of many disciplines, like biology, physics, medicine, computer science, and of course mathematics. Currently it is very “hot” because much progress that has been realized over the last few decades has recently come to fruition, particularly in machine learning . You can learn more about my research in the research tab above.

AVAILABILITY

Here is a calendar of my activities, if you want to contact me at an

opportune time

.

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