Popis předmětu - XP33RCV
XP33RCV | Čtenářský klub zaměřený na oblast rozpoznávání a počítačového vidění | ||
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Role: | S | Rozsah výuky: | 2P+2S |
Katedra: | 13133 | Jazyk výuky: | EN |
Garanti: | Tolias G. | Zakončení: | ZK |
Přednášející: | Sattler T., Tolias G. | Kreditů: | 4 |
Cvičící: | Sattler T., Tolias G. | Semestr: | Z,L |
Webová stránka:
http://cmp.felk.cvut.cz/~toliageo/rg/Anotace:
The course deals with fundamental results in computer vision and pattern recognition. It targets the detailed study of principles which substantially influence the development in the field. The course is performed in the form of a reading group. Each time, a person in charge presents a paper and the reading group participants join in with questions, comments and discussion about the paper.Cíle studia:
Each student is expected to present one paper and actively participate in reading groups of other presenters. See more information in https://cmp.felk.cvut.cz/~toliageo/rg/course.htmlOsnovy přednášek:
There are no standard lectures. Reading groups are organized irregularly, several times a year. The reserved time slots are those for CMP seminars, on Tuesday or Thursday 11:00-12:30. Each reading group is announced separately here: http://cmp.felk.cvut.cz/~toliageo/rg/index.html . Meetings are included in the following calendar: cmp.felk.cvut.cz/events/icalc.phtml .Osnovy cvičení:
Literatura:
See the list with indicative examples of papers that can be presented at the reading group http://cmp.felk.cvut.cz/~toliageo/rg/suggested.html . See the list of previous reading groups http://cmp.felk.cvut.cz/~toliageo/rg/index.htmlPožadavky:
Mainly targeting PhD candidates, but also available for Msc students with strong interest, possibly experience too, on a research topic that is relevant to the course. MSc students interested in enrolling are advised to check the list of previous presentations (https://cmp.felk.cvut.cz/~toliageo/rg/index.html) to get an idea about topics they might need to deal with.Klíčová slova:
computer vision, machine learning, deep learningPředmět je zahrnut do těchto studijních plánů:
Plán | Obor | Role | Dop. semestr |
DOKP | Před zařazením do oboru | S | – |
DOKK | Před zařazením do oboru | S | – |
Stránka vytvořena 21.11.2024 15:51:13, semestry: Z/2025-6, L/2023-4, Z,L/2024-5, připomínky k informační náplni zasílejte správci studijních plánů | Návrh a realizace: I. Halaška (K336), J. Novák (K336) |