He was born in Budapest on 11 October 1885 to parents Ignác Haar and Emma Fuchs. He graduated in 1903 from the secondary school Fasori Evangélikus Gimnázium where he was a student of Rátz László. He started his university studies in Budapest, later moving on to Göttingen reading Mathematics and sciences. Among the many famous professors he was taught by, he could count Eötvös Loránd, Kürschák, Carathéodory, Hilbert, Klein and Zermelo.
During years of the secondary school, he collaborated with the mathematical journal for secondary school students Középiskolai Matematikai Lapok, and won the national Eötvös Loránd Mathematical Competition. He enrolled to the Technical University of Budapest as a student of Chemical Engineering, but in the same year he moved on to the University of Budapest, and after a year to the University of Göttingen. His doctoral research was supervised by Hilbert graduating in June 1909. His 49-page thesis studies systems of Sturm-Liouville functions and spherical functions, introducing the now widely used Haar orthogonal systems. In the same year he habilitated to become a private professor of the university.
In this video, we will talk about Haar-like feature which is one of popular features used for object detection, especially, for face detection.
The outline of this lecture includes:
(1) Introduction about the origin of Haar-like feature
(2) Response definition about the way to compute the Haar-like feature.
(3) Fast computation about how to speed up the computation of Haar-like feature in a constant time.
0:00 Outline
0:41 Introduction
1:54 Response Definition
4:33 Fast Computation
Any comments are welcome. (email: [email protected])
All resources are available on the website (http://quarter.tw)
published: 16 May 2019
Haar Wavelets
Fourier series isn't the only way to decompose a function as a sum of pieces. Haar wavelets allow us to separate out the high-frequency and low-frequency parts of a signal and keep the parts that we can actually see. This is essentially (but not exactly) the way that JPEG data compression works.
published: 06 Nov 2013
Haar measure
If you find our videos helpful you can support us by buying something from amazon.
https://www.amazon.com/?tag=wiki-audio-20
Haar measure
In mathematical analysis, the Haar measure assigns an "invariant volume" to subsets of locally compact topological groups, consequently defining an integral for functions on those groups.This measure was introduced by Alfréd Haar in 1933.
-Video is targeted to blind users
Attribution:
Article text available under CC-BY-SA
image source in video
https://www.youtube.com/watch?v=Xs103b1Ndkc
published: 22 Jan 2016
Simple Haar Wavelets: Part 02: Basic Haar Wavelet Transform
1) Basic Haar Wavelet Transform
2) Expressing Approximating Functions with Wavelets
3) Combing Two Adjacent Steps into One Wider Step and One Wavelet
4) Recovering Two Smaller Adjacent Steps from One Wider Step and One Wavelet
5) Video Narration: Vladimir Kulyukin
published: 10 Jan 2014
Simple Haar Wavelets: Part 07: In-Place Fast Inverse Haar Wavelet Transform
1) Derivation of two equations that define in-place fast inverse haar wavelet transform
2) Three examples of applying in-place fast haar wavelet transform and restoring the sample back with in-place fast inverse haar wavelet transform
3) Video Narration: Vladimir Kulyukin
published: 16 Oct 2014
Opening talk - 6 May 2022 - Acta Sci Math (Szeged) celebrates its 100th anniversary
Acta Scientiarum Mathematicarum (Acta Sci Math (Szeged) or Acta Szeged for short) celebrates this year (2022) the 100th anniversary of its foundation by Alfréd Haar and Frigyes Riesz.
Introduction to the second day of the two-day online conference "Functional Analysts and Operator Theorists Celebrate the 100th Anniversary of Acta Sci Math (Szeged)" held on 6 May 2022.
All talks from the online conference are here: https://www.youtube.com/playlist?list=PLLe3TzudRmf3SgBAHRJy6nlA-YRfSmQTZ
published: 31 May 2022
Opening talk - 5 May 2022 - Acta Sci Math (Szeged) celebrates its 100th anniversary
Acta Scientiarum Mathematicarum (Acta Sci Math (Szeged) or Acta Szeged for short) celebrates this year (2022) the 100th anniversary of its foundation by Alfréd Haar and Frigyes Riesz.
Introduction to the first day of the two-day online conference "Functional Analysts and Operator Theorists Celebrate the 100th Anniversary of Acta Sci Math (Szeged)" held on 5 May 2022.
All talks from the online conference are here: https://www.youtube.com/playlist?list=PLLe3TzudRmf3SgBAHRJy6nlA-YRfSmQTZ
published: 31 May 2022
Simple Haar Wavelets: Part 4a: Ordered Fast Haar Wavelet Transform
1) Ordered Fast Haar Wavelet Transform
2) Array representation of a sample
3) Ordered Fast Haar Wavelet Transform as a series of array iterations
4) Each array iteration is a series of applications of the Basic Haar Wavelet Transform to each consecutive pair of elements
5) The approximating function of the previous array is the sum of the step functions and wavelets of the current array obtained after a single iteration
6) The wavelets measure the change from the approximation of the original function at a higher frequency to the approximation of the same function at a lower frequency
7) Video narration: Vladimir Kulyukin
published: 13 Mar 2014
Simple Haar Wavelets: Part 4b: Ordered Fast Haar Wavelet Transform
1. Sample structure in ordered fast haar wavelet transform
2. Three detailed examples of how ordered fast haar wavelet transfroms are computed on samples of sizes 2, 4, and 8.
3. Source code of ordered fast haar wavelet transform
4. Video narration: Vladimir Kulyukin
In this video, we will talk about Haar-like feature which is one of popular features used for object detection, especially, for face detection.
The outline of ...
In this video, we will talk about Haar-like feature which is one of popular features used for object detection, especially, for face detection.
The outline of this lecture includes:
(1) Introduction about the origin of Haar-like feature
(2) Response definition about the way to compute the Haar-like feature.
(3) Fast computation about how to speed up the computation of Haar-like feature in a constant time.
0:00 Outline
0:41 Introduction
1:54 Response Definition
4:33 Fast Computation
Any comments are welcome. (email: [email protected])
All resources are available on the website (http://quarter.tw)
In this video, we will talk about Haar-like feature which is one of popular features used for object detection, especially, for face detection.
The outline of this lecture includes:
(1) Introduction about the origin of Haar-like feature
(2) Response definition about the way to compute the Haar-like feature.
(3) Fast computation about how to speed up the computation of Haar-like feature in a constant time.
0:00 Outline
0:41 Introduction
1:54 Response Definition
4:33 Fast Computation
Any comments are welcome. (email: [email protected])
All resources are available on the website (http://quarter.tw)
Fourier series isn't the only way to decompose a function as a sum of pieces. Haar wavelets allow us to separate out the high-frequency and low-frequency parts ...
Fourier series isn't the only way to decompose a function as a sum of pieces. Haar wavelets allow us to separate out the high-frequency and low-frequency parts of a signal and keep the parts that we can actually see. This is essentially (but not exactly) the way that JPEG data compression works.
Fourier series isn't the only way to decompose a function as a sum of pieces. Haar wavelets allow us to separate out the high-frequency and low-frequency parts of a signal and keep the parts that we can actually see. This is essentially (but not exactly) the way that JPEG data compression works.
If you find our videos helpful you can support us by buying something from amazon.
https://www.amazon.com/?tag=wiki-audio-20
Haar measure
In mathematical ana...
If you find our videos helpful you can support us by buying something from amazon.
https://www.amazon.com/?tag=wiki-audio-20
Haar measure
In mathematical analysis, the Haar measure assigns an "invariant volume" to subsets of locally compact topological groups, consequently defining an integral for functions on those groups.This measure was introduced by Alfréd Haar in 1933.
-Video is targeted to blind users
Attribution:
Article text available under CC-BY-SA
image source in video
https://www.youtube.com/watch?v=Xs103b1Ndkc
If you find our videos helpful you can support us by buying something from amazon.
https://www.amazon.com/?tag=wiki-audio-20
Haar measure
In mathematical analysis, the Haar measure assigns an "invariant volume" to subsets of locally compact topological groups, consequently defining an integral for functions on those groups.This measure was introduced by Alfréd Haar in 1933.
-Video is targeted to blind users
Attribution:
Article text available under CC-BY-SA
image source in video
https://www.youtube.com/watch?v=Xs103b1Ndkc
1) Basic Haar Wavelet Transform
2) Expressing Approximating Functions with Wavelets
3) Combing Two Adjacent Steps into One Wider Step and One Wavelet
4) Recover...
1) Basic Haar Wavelet Transform
2) Expressing Approximating Functions with Wavelets
3) Combing Two Adjacent Steps into One Wider Step and One Wavelet
4) Recovering Two Smaller Adjacent Steps from One Wider Step and One Wavelet
5) Video Narration: Vladimir Kulyukin
1) Basic Haar Wavelet Transform
2) Expressing Approximating Functions with Wavelets
3) Combing Two Adjacent Steps into One Wider Step and One Wavelet
4) Recovering Two Smaller Adjacent Steps from One Wider Step and One Wavelet
5) Video Narration: Vladimir Kulyukin
1) Derivation of two equations that define in-place fast inverse haar wavelet transform
2) Three examples of applying in-place fast haar wavelet transform and r...
1) Derivation of two equations that define in-place fast inverse haar wavelet transform
2) Three examples of applying in-place fast haar wavelet transform and restoring the sample back with in-place fast inverse haar wavelet transform
3) Video Narration: Vladimir Kulyukin
1) Derivation of two equations that define in-place fast inverse haar wavelet transform
2) Three examples of applying in-place fast haar wavelet transform and restoring the sample back with in-place fast inverse haar wavelet transform
3) Video Narration: Vladimir Kulyukin
Acta Scientiarum Mathematicarum (Acta Sci Math (Szeged) or Acta Szeged for short) celebrates this year (2022) the 100th anniversary of its foundation by Alfréd ...
Acta Scientiarum Mathematicarum (Acta Sci Math (Szeged) or Acta Szeged for short) celebrates this year (2022) the 100th anniversary of its foundation by Alfréd Haar and Frigyes Riesz.
Introduction to the second day of the two-day online conference "Functional Analysts and Operator Theorists Celebrate the 100th Anniversary of Acta Sci Math (Szeged)" held on 6 May 2022.
All talks from the online conference are here: https://www.youtube.com/playlist?list=PLLe3TzudRmf3SgBAHRJy6nlA-YRfSmQTZ
Acta Scientiarum Mathematicarum (Acta Sci Math (Szeged) or Acta Szeged for short) celebrates this year (2022) the 100th anniversary of its foundation by Alfréd Haar and Frigyes Riesz.
Introduction to the second day of the two-day online conference "Functional Analysts and Operator Theorists Celebrate the 100th Anniversary of Acta Sci Math (Szeged)" held on 6 May 2022.
All talks from the online conference are here: https://www.youtube.com/playlist?list=PLLe3TzudRmf3SgBAHRJy6nlA-YRfSmQTZ
Acta Scientiarum Mathematicarum (Acta Sci Math (Szeged) or Acta Szeged for short) celebrates this year (2022) the 100th anniversary of its foundation by Alfréd ...
Acta Scientiarum Mathematicarum (Acta Sci Math (Szeged) or Acta Szeged for short) celebrates this year (2022) the 100th anniversary of its foundation by Alfréd Haar and Frigyes Riesz.
Introduction to the first day of the two-day online conference "Functional Analysts and Operator Theorists Celebrate the 100th Anniversary of Acta Sci Math (Szeged)" held on 5 May 2022.
All talks from the online conference are here: https://www.youtube.com/playlist?list=PLLe3TzudRmf3SgBAHRJy6nlA-YRfSmQTZ
Acta Scientiarum Mathematicarum (Acta Sci Math (Szeged) or Acta Szeged for short) celebrates this year (2022) the 100th anniversary of its foundation by Alfréd Haar and Frigyes Riesz.
Introduction to the first day of the two-day online conference "Functional Analysts and Operator Theorists Celebrate the 100th Anniversary of Acta Sci Math (Szeged)" held on 5 May 2022.
All talks from the online conference are here: https://www.youtube.com/playlist?list=PLLe3TzudRmf3SgBAHRJy6nlA-YRfSmQTZ
1) Ordered Fast Haar Wavelet Transform
2) Array representation of a sample
3) Ordered Fast Haar Wavelet Transform as a series of array iterations
4) Each array ...
1) Ordered Fast Haar Wavelet Transform
2) Array representation of a sample
3) Ordered Fast Haar Wavelet Transform as a series of array iterations
4) Each array iteration is a series of applications of the Basic Haar Wavelet Transform to each consecutive pair of elements
5) The approximating function of the previous array is the sum of the step functions and wavelets of the current array obtained after a single iteration
6) The wavelets measure the change from the approximation of the original function at a higher frequency to the approximation of the same function at a lower frequency
7) Video narration: Vladimir Kulyukin
1) Ordered Fast Haar Wavelet Transform
2) Array representation of a sample
3) Ordered Fast Haar Wavelet Transform as a series of array iterations
4) Each array iteration is a series of applications of the Basic Haar Wavelet Transform to each consecutive pair of elements
5) The approximating function of the previous array is the sum of the step functions and wavelets of the current array obtained after a single iteration
6) The wavelets measure the change from the approximation of the original function at a higher frequency to the approximation of the same function at a lower frequency
7) Video narration: Vladimir Kulyukin
1. Sample structure in ordered fast haar wavelet transform
2. Three detailed examples of how ordered fast haar wavelet transfroms are computed on samples of siz...
1. Sample structure in ordered fast haar wavelet transform
2. Three detailed examples of how ordered fast haar wavelet transfroms are computed on samples of sizes 2, 4, and 8.
3. Source code of ordered fast haar wavelet transform
4. Video narration: Vladimir Kulyukin
1. Sample structure in ordered fast haar wavelet transform
2. Three detailed examples of how ordered fast haar wavelet transfroms are computed on samples of sizes 2, 4, and 8.
3. Source code of ordered fast haar wavelet transform
4. Video narration: Vladimir Kulyukin
In this video, we will talk about Haar-like feature which is one of popular features used for object detection, especially, for face detection.
The outline of this lecture includes:
(1) Introduction about the origin of Haar-like feature
(2) Response definition about the way to compute the Haar-like feature.
(3) Fast computation about how to speed up the computation of Haar-like feature in a constant time.
0:00 Outline
0:41 Introduction
1:54 Response Definition
4:33 Fast Computation
Any comments are welcome. (email: [email protected])
All resources are available on the website (http://quarter.tw)
Fourier series isn't the only way to decompose a function as a sum of pieces. Haar wavelets allow us to separate out the high-frequency and low-frequency parts of a signal and keep the parts that we can actually see. This is essentially (but not exactly) the way that JPEG data compression works.
If you find our videos helpful you can support us by buying something from amazon.
https://www.amazon.com/?tag=wiki-audio-20
Haar measure
In mathematical analysis, the Haar measure assigns an "invariant volume" to subsets of locally compact topological groups, consequently defining an integral for functions on those groups.This measure was introduced by Alfréd Haar in 1933.
-Video is targeted to blind users
Attribution:
Article text available under CC-BY-SA
image source in video
https://www.youtube.com/watch?v=Xs103b1Ndkc
1) Basic Haar Wavelet Transform
2) Expressing Approximating Functions with Wavelets
3) Combing Two Adjacent Steps into One Wider Step and One Wavelet
4) Recovering Two Smaller Adjacent Steps from One Wider Step and One Wavelet
5) Video Narration: Vladimir Kulyukin
1) Derivation of two equations that define in-place fast inverse haar wavelet transform
2) Three examples of applying in-place fast haar wavelet transform and restoring the sample back with in-place fast inverse haar wavelet transform
3) Video Narration: Vladimir Kulyukin
Acta Scientiarum Mathematicarum (Acta Sci Math (Szeged) or Acta Szeged for short) celebrates this year (2022) the 100th anniversary of its foundation by Alfréd Haar and Frigyes Riesz.
Introduction to the second day of the two-day online conference "Functional Analysts and Operator Theorists Celebrate the 100th Anniversary of Acta Sci Math (Szeged)" held on 6 May 2022.
All talks from the online conference are here: https://www.youtube.com/playlist?list=PLLe3TzudRmf3SgBAHRJy6nlA-YRfSmQTZ
Acta Scientiarum Mathematicarum (Acta Sci Math (Szeged) or Acta Szeged for short) celebrates this year (2022) the 100th anniversary of its foundation by Alfréd Haar and Frigyes Riesz.
Introduction to the first day of the two-day online conference "Functional Analysts and Operator Theorists Celebrate the 100th Anniversary of Acta Sci Math (Szeged)" held on 5 May 2022.
All talks from the online conference are here: https://www.youtube.com/playlist?list=PLLe3TzudRmf3SgBAHRJy6nlA-YRfSmQTZ
1) Ordered Fast Haar Wavelet Transform
2) Array representation of a sample
3) Ordered Fast Haar Wavelet Transform as a series of array iterations
4) Each array iteration is a series of applications of the Basic Haar Wavelet Transform to each consecutive pair of elements
5) The approximating function of the previous array is the sum of the step functions and wavelets of the current array obtained after a single iteration
6) The wavelets measure the change from the approximation of the original function at a higher frequency to the approximation of the same function at a lower frequency
7) Video narration: Vladimir Kulyukin
1. Sample structure in ordered fast haar wavelet transform
2. Three detailed examples of how ordered fast haar wavelet transfroms are computed on samples of sizes 2, 4, and 8.
3. Source code of ordered fast haar wavelet transform
4. Video narration: Vladimir Kulyukin
He was born in Budapest on 11 October 1885 to parents Ignác Haar and Emma Fuchs. He graduated in 1903 from the secondary school Fasori Evangélikus Gimnázium where he was a student of Rátz László. He started his university studies in Budapest, later moving on to Göttingen reading Mathematics and sciences. Among the many famous professors he was taught by, he could count Eötvös Loránd, Kürschák, Carathéodory, Hilbert, Klein and Zermelo.
During years of the secondary school, he collaborated with the mathematical journal for secondary school students Középiskolai Matematikai Lapok, and won the national Eötvös Loránd Mathematical Competition. He enrolled to the Technical University of Budapest as a student of Chemical Engineering, but in the same year he moved on to the University of Budapest, and after a year to the University of Göttingen. His doctoral research was supervised by Hilbert graduating in June 1909. His 49-page thesis studies systems of Sturm-Liouville functions and spherical functions, introducing the now widely used Haar orthogonal systems. In the same year he habilitated to become a private professor of the university.