The paper examines the various modes of designing video game avatars. The purpose is to establish an operational model for categorizing the avatars’ design. Within a theoretical framework raised by Marie-Laure Ryan and Murray Smith I will establish two continua, which, merged together, lead to twin axes that can be used to describe certain archetypes in avatar design. This paper examines typica...

We propose a general modeling and inference framework that combines the complementary strengths of probabilistic graphical models and deep learning methods. Our model family composes latent graphical models with neural network observation likelihoods. For inference, we use recognition networks to produce local evidence potentials, then combine them with the model distribution using efficient me...

Over 90% of business records today are available in electronic form. With vast increases in electronic business content being generated and received daily, companies must now consider new approaches for organizing and categorizing their content (e.g. emails, documents, pdfs) to meet operational and compliance needs. Enterprise Content Management (ECM) Software has been suggested as a solution t...

Organizations live in a volatile environment and to survive they have to be able to adjust and change their organizational processes as needed, easily and fast. Information technology is considered to be the major single driving force and also the facilitator of change. Change is not an easy process and very often there are barriers to overcome. If barriers are not identified and addressed, the...

Sex differences are intrinsically interesting, particularly in the brain. When sexually dimorphic structures mediate learning, and when such learning ability is necessary to compete for mates, then such differences are best understood within the framework of sexual selection. By categorizing recent studies of sex differences in the brain by their role in mate competition, theories of sexual sel...

The capacity of distributional semantic models (DSMs) to discover similarities over large scale heterogeneous and poorly structured data brings them as a promising universal and low-effort framework to support semantic approximation and knowledge discovery. This position paper explores the role of distributional semantics in the Semantic Web vision, based on state-of-the-art distributional-rela...

Humans are poorer at identifying smells and communicating about them, compared to other sensory domains. They also cannot easily organize odor sensations in a general conceptual space, where geometric distance could represent how similar or different all odors are. These two generalities more less accepted by psychologists, they often seen as connected: If there is no space for odors, then olfa...