Presentation from my early school time on telnet and SSH. Basic overview of techniques and technical details. In cooperation with Lukas Apalovic. Presentation is in slovak
Supervised Learning of Semantic Classes for Image Annotation and RetrievalLukas Tencer
This is presentation done by me for ECSE626 "Statistical Computer Vision" at McGill University. It is presentation of a project inspired by paper "Supervised Learning of Semantic Classes for Image Annotation and Retrieval" from PAMI 2007. It presents my implementation of the paper and my achieved results.
Web-based framework for online sketch-based image retrievalLukas Tencer
My presentation for course SYS821 "Pattern recognition and inspection" at ETS. This describes implementation of my project on topic "Web-based framework for online sketch-based image retrieval".
ICRA: Intelligent Platform for Collaboration and InteractionLukas Tencer
Presentation for a class at Polytechnique Montreal. First halve focuses on presentation of the platform, second halve focuses on presentation of algorithms.
Tracking of objects with known color signature - ELITECH 20Lukas Tencer
My presentation on conference ELITECH 2011. It is on tracking colored objects. Presentation and paper won the award for best contribution in area of computer science from Slovak IT SAV society.
This document discusses common probability distributions used in computer vision. It introduces the Bernoulli, beta, categorical, and Dirichlet distributions which model useful quantities like binary outcomes and categorical variables. It then presents conjugate distributions that model the parameters of the first four distributions, such as the normal inverse gamma distribution for the univariate normal. The document explains that these conjugate pairs have a special relationship where the posterior takes the same form as the prior, allowing for efficient calculation in learning models.
Supervised Learning of Semantic Classes for Image Annotation and RetrievalLukas Tencer
This is presentation done by me for ECSE626 "Statistical Computer Vision" at McGill University. It is presentation of a project inspired by paper "Supervised Learning of Semantic Classes for Image Annotation and Retrieval" from PAMI 2007. It presents my implementation of the paper and my achieved results.
Web-based framework for online sketch-based image retrievalLukas Tencer
My presentation for course SYS821 "Pattern recognition and inspection" at ETS. This describes implementation of my project on topic "Web-based framework for online sketch-based image retrieval".
ICRA: Intelligent Platform for Collaboration and InteractionLukas Tencer
Presentation for a class at Polytechnique Montreal. First halve focuses on presentation of the platform, second halve focuses on presentation of algorithms.
Tracking of objects with known color signature - ELITECH 20Lukas Tencer
My presentation on conference ELITECH 2011. It is on tracking colored objects. Presentation and paper won the award for best contribution in area of computer science from Slovak IT SAV society.
This document discusses common probability distributions used in computer vision. It introduces the Bernoulli, beta, categorical, and Dirichlet distributions which model useful quantities like binary outcomes and categorical variables. It then presents conjugate distributions that model the parameters of the first four distributions, such as the normal inverse gamma distribution for the univariate normal. The document explains that these conjugate pairs have a special relationship where the posterior takes the same form as the prior, allowing for efficient calculation in learning models.
This document introduces fundamental concepts in probability that are important for computer vision models, including:
1) Random variables represent uncertain quantities that can take on different values, described by probability distributions.
2) Joint, marginal, and conditional probabilities describe the relationships between multiple random variables and allow computing the probability of one variable given information about others.
3) Bayes' rule provides a way to calculate conditional probabilities and invert relationships between cause and effect.
4) Independence and expectation define how variables interact and allow calculating average values over probability distributions. These concepts form the basis for probabilistic models in computer vision.
Personal Career,Education and skills presentation, 2011Lukas Tencer
Lukas Tencer has worked as a test engineer, software engineer, lead programmer, and researcher between 2006-2011. He has a Bachelor's, Master's, and PhD in computer science and has worked on projects for universities and companies in Slovakia, Ireland, Netherlands, and Canada. His programming experience includes C++, Java, JavaScript, and other languages.
Haiku Deck is a presentation platform that allows users to create Haiku-style slideshows. The document encourages the reader to get started creating their own Haiku Deck presentation on SlideShare by providing a link to do so. It aims to inspire the reader to try out Haiku Deck's unique presentation style.
The document discusses using data insights to improve recruiting approaches through strategic staffing rather than slot-based recruitment. It presents a framework for strategic staffing that involves workforce demand forecasting, identifying critical roles, and focusing applicant sourcing on those roles. The case study describes how LinkedIn used data on talent supply, demand, skills, and connections to determine that Seattle would be a better location than New York for a new engineering office. Key recommendations include using data to increase influence, clarify problems to be solved, and understand regional differences in supply, demand, skills and connections.
Computer graphics on web and in mobile devicesLukas Tencer
Presentation on computer graphics systems used in mobile devices and on web. Overview of techniques with details and capabilities, with aim on 2D and 3D graphics. Presentation is in Slovak language.
The New Distrowatch – Bachelor's thesis (SK)Jakub Žitný
This project hopes to bring new way to distribute information about vari- ous operating systems – especially multifarious Linux distributions but also other open-source systems. There are so many of them it is not easy to get to know or try out each one. The output of this work is design and imple- mentation of web application which displays information about operating systems on well designed pages. These information come from automatic procedures scanning the inside of operating systems and the Internet. Be- sides displaying information, the website gives a chance for visitors to try out specific operating systems right in their browser. This project is inspired by ideas behind distrowatch.com – a popular website providing updates and rankings of Linux distributions.
Tomáš Corej: Od sdíleného hostingu po serverDevelcz
Přednáška se zabývá různými nástrahami a chybami, kterými prochází webový projekt od sdíleného hostingu, přes VPS, až po fyzický server s tím, jak roste jeho popularita.
This document introduces fundamental concepts in probability that are important for computer vision models, including:
1) Random variables represent uncertain quantities that can take on different values, described by probability distributions.
2) Joint, marginal, and conditional probabilities describe the relationships between multiple random variables and allow computing the probability of one variable given information about others.
3) Bayes' rule provides a way to calculate conditional probabilities and invert relationships between cause and effect.
4) Independence and expectation define how variables interact and allow calculating average values over probability distributions. These concepts form the basis for probabilistic models in computer vision.
Personal Career,Education and skills presentation, 2011Lukas Tencer
Lukas Tencer has worked as a test engineer, software engineer, lead programmer, and researcher between 2006-2011. He has a Bachelor's, Master's, and PhD in computer science and has worked on projects for universities and companies in Slovakia, Ireland, Netherlands, and Canada. His programming experience includes C++, Java, JavaScript, and other languages.
Haiku Deck is a presentation platform that allows users to create Haiku-style slideshows. The document encourages the reader to get started creating their own Haiku Deck presentation on SlideShare by providing a link to do so. It aims to inspire the reader to try out Haiku Deck's unique presentation style.
The document discusses using data insights to improve recruiting approaches through strategic staffing rather than slot-based recruitment. It presents a framework for strategic staffing that involves workforce demand forecasting, identifying critical roles, and focusing applicant sourcing on those roles. The case study describes how LinkedIn used data on talent supply, demand, skills, and connections to determine that Seattle would be a better location than New York for a new engineering office. Key recommendations include using data to increase influence, clarify problems to be solved, and understand regional differences in supply, demand, skills and connections.
Computer graphics on web and in mobile devicesLukas Tencer
Presentation on computer graphics systems used in mobile devices and on web. Overview of techniques with details and capabilities, with aim on 2D and 3D graphics. Presentation is in Slovak language.
The New Distrowatch – Bachelor's thesis (SK)Jakub Žitný
This project hopes to bring new way to distribute information about vari- ous operating systems – especially multifarious Linux distributions but also other open-source systems. There are so many of them it is not easy to get to know or try out each one. The output of this work is design and imple- mentation of web application which displays information about operating systems on well designed pages. These information come from automatic procedures scanning the inside of operating systems and the Internet. Be- sides displaying information, the website gives a chance for visitors to try out specific operating systems right in their browser. This project is inspired by ideas behind distrowatch.com – a popular website providing updates and rankings of Linux distributions.
Tomáš Corej: Od sdíleného hostingu po serverDevelcz
Přednáška se zabývá různými nástrahami a chybami, kterými prochází webový projekt od sdíleného hostingu, přes VPS, až po fyzický server s tím, jak roste jeho popularita.