Learning semantic-space of documents (Bow2SemSpace) Download
Creates semantic-space representation of documents based on Latent Semantic Indexing. Parameters and example call.
Projecting on the semantic-space of documents (ProjBow2SemSpace) Download
Projects documents provided in the Bag-Of-Words format to semantic-space representation of documents that was previously generated using Bow2SemSpace. Parameters and example call.
Learning language independent semantic-space of documents (PrSet2SemSpace) Download
The utility learns language independent semantic space for two languages from paired corpus. Parameters and example call.
Feature Extraction from Images (ImgFeatures) Download
The utility extracts various groups of features from input images. Parameters and example call.
H2020 project ODEUROPA – a project that will deal with an analysis of the role of smell in Europe’s cultural heritage. This will include, among other things, ambitious approaches, such as building AI models that would identify what the scene smells like from images – such as photographs of Renaissance still life
Marko Grobelnik gave an interview on RTV Slo / Radio Si program Euranet Plus (in Slovene)
H2020 project 