Visual Analysis of Data in Different Applications

Piotr Regulski (Medical University of Warsaw) #

Note that this seminar will take place in room 2/414 in Mathematikon! Seminar will start at 11:15!!! #

The visual analysis is the process of inference and extraction of hidden information in data using geometric objects based on deeply processed interactively modifiable algorithms performed on input data. The main purpose of the seminar is to present different methods of visual analysis in data analysis. The seminar intends to cover a comprehensive range of topics that are vital in modern data analyses. Among these, segmentation techniques offer a way to partition data into meaningful regions or segments, thereby simplifying complex data structures and facilitating easier analysis. Filtering methods aim to remove noise or irrelevant information, enhancing the essential features of the data. Denoising goes a step further, applying advanced algorithms to minimize distortions and errors, thus improving data quality.

Morphological operations, which include tasks such as erosion, dilation, and skeletonization, are used to shape and structure geometric objects, and are particularly useful in image analysis. Mapping refers to the process of translating high-dimensional or complex data into a visual, two- or three-dimensional, format that is easier to interpret and understand. Deep learning methodologies, employing neural networks with multiple layers, provide robust tools for complex data categorization, feature extraction, and predictive modeling.

The seminar, also set to feature an introduction to VisNow, an open-source platform designed for conducting visual analyses. This platform stands as a robust solution for those interested in a comprehensive toolset for data interpretation. VisNow offers a rich library of modules specifically tailored for the processing and visualization of scientific data. These modules encompass a wide array of functionalities, from basic data manipulation to complex algorithmic computations.

Overall, this seminar offers a critical examination of the tools and techniques vital for effective visual data analysis.