The dimensionality reduction problem has been widely studied in the database literature because of its application for concise data representation in a variety of database applica...
Choosing good features to represent objects can be crucial to the success of supervised machine learning algorithms. Good high-level features are those that concentrate informatio...
ct This chapter discusses two applications aiming at evolving images in the styles of two well-known Dutch painters: Mondriaan and Escher. For both cases we have an evaluation crit...
We present a probabilistic generative model of visual attributes, together with an efficient learning algorithm. Attributes are visual qualities of objects, such as ‘red’, ...
We propose an unsupervised approach to learn associations between continuous-valued attributes from different modalities. These associations are used to construct a multi-modal t...