The project has split itself into two clear directions, each with its own challenges. One of them explores Adaboost in more detail, using different weak learners and comparing their performance on different datasets, and seeing how uncertainty-based active sampling for labeling compares with random sampling for labeling. The other explores the problem of paintings’ images genre classification, ...

for some 3 million years, the archaeological record is characterized by stone tools undergoing incremental changes. then around 40,000 years ago, the monotony of lithics is terminated by a profusion of visual representations, generally considered to be the world’s first objets d’art. this collection include a series of portable objects, especially figurines and, later on, the famous cave painti...

In this paper an Automatic System for Image Digital Capturing (ASIDC) is described. The aim of ASIDC is to create high resolution digital images depicting paintings of large size. The system creates a set of N digital images presenting sequential frames of the total picture. By using software we proceed to the mosaicing (pasting) of the images producing the complete detailed digital image.

Neuroimaging studies of aesthetic appreciation have shown that activity in the lateral occipital area (LO)-a key node in the object recognition pathway-is modulated by the extent to which visual artworks are liked or found beautiful. However, the available evidence is only correlational. Here we used transcranial magnetic stimulation (TMS) to investigate the putative causal role of LO in the ae...