...oblem when the fidelity is either the <math>L^2</math>-norm or the <math>L^1</math>-norm. We propose an algorithm which computes the exact solution of t
$L^1$-norm. We propose an algorithm which computes the
2 KB (327 words) - 19:19, 5 January 2018
...te professor at [https://www.univ-lyon1.fr University Claude Bernard Lyon 1] and head of the [https://liris.cnrs.fr/en/team/dm2l Data Mining & Machine
826 bytes (121 words) - 09:51, 8 February 2022
| identifier = isbn:1-59593-024-8
isbn = <nowiki>{</nowiki>1-59593-024-8<nowiki>}</nowiki>,
3 KB (336 words) - 18:56, 4 January 2018
[[Epita/CMP1-Course|Compiler Construction Course 1]] and
{{DISPLAYTITLE:CMP 1}}
10 KB (1,231 words) - 15:11, 9 June 2014
* [[CMP1-Course][CMP1 - Compiler Construction 1]]
---+ 1&2: 2010-09-30: Introduction (30min), Languages and Automata (2h30)
17 KB (2,146 words) - 13:20, 3 October 2016
...segment, we consider three images, corresponding to the (n-1)th, nthand (n-1)th slices of the original volume. These three gray-level 2D images are asse
consider three images, corresponding to the (n-1)th, nth,
4 KB (624 words) - 17:01, 27 May 2021
| title = Detecting danger in marine environment: Part 1 - Making the dataset
789 bytes (112 words) - 18:22, 9 November 2020
|title=Modélisation objets 1
745 bytes (116 words) - 15:08, 4 February 2020
...log of the topics of the [[Epita/CMP1-Course|Compiler Construction Course 1 (CMP1)]]
== CMP 1 ==
8 KB (1,141 words) - 15:11, 9 June 2014
...ithm. We also study the special case when the fidelity term is the <math>L^1</math>-norm. Finally we provide some experiments.
term is the $L^1$-norm. Finally we provide some
2 KB (326 words) - 19:19, 5 January 2018
...the <math>(n-1)^{\text{th}}</math>, <math>n^{\text{th}}</math>and <math>(n+1)^{\text{th}}</math> slices of the original volume. These three gray-level 2
corresponding to the $(n-1)^<nowiki>{</nowiki>\text<nowiki>{</nowiki>th<nowiki>}</nowiki><nowiki>}</no
5 KB (694 words) - 13:42, 24 November 2020
...h can take only two values. First we show that this model with the <math>L^1</math>-norm as data fidelity yields a contrast invariant filter which is a
show that this model with the $L^1$-norm as data fidelity
2 KB (345 words) - 19:20, 5 January 2018
...vectors. It relies on the minimization of the total variation with <math>L^1</math> norm as data fidelity on each channel. We further constraint this mi
minimization of the total variation with $L^1$ norm as data
3 KB (342 words) - 19:19, 5 January 2018
...1937. The competition featured three tasks, awarded separately. Task 1 consists in detecting building blocks and was won by the L3IRIS team using
Paris, France, drawn at 1/5000 scale between 1894 and 1937.
4 KB (589 words) - 10:55, 8 September 2021
| title = LTL Translation Improvements in Spot 1.0
| number = 1/2
3 KB (364 words) - 11:30, 1 April 2019
...oblem when the fidelity is either the <math>L^2</math>-norm or the <math>L^1</math>-norm. We propose an algorithm which computes the exact solution of t
$L^1$-norm. We propose an algorithm which computes the
3 KB (370 words) - 19:19, 5 January 2018
* October 11th, 2015: [[Vcsn/Vcsn2.1|Vcsn 2.1]] is released!
* April 9th, 2014: Vaucanson 1's git repository moved to [https://gitlab.lrde.epita.fr/vcsn/vaucanson1 our
3 KB (381 words) - 18:11, 8 May 2018
: Téléphone +33 1 53 14 59 22
801 bytes (96 words) - 16:00, 9 January 2019
| identifier = isbn:1-58603-108-2
isbn = <nowiki>{</nowiki>1-58603-108-2<nowiki>}</nowiki>,
3 KB (365 words) - 16:21, 5 January 2018
| pages = 1 to 16
pages = <nowiki>{</nowiki>1-16<nowiki>}</nowiki>,
3 KB (400 words) - 23:22, 12 December 2022
