Two experiments were conducted to investigate the existence of long-term, detailed visual memory and whether this memory can be acquired incidentally. In both experiments, participants performed an intentional (Memorization) and an incidental (Visual Search) learning task while viewing photographs of real-world scenes. A memory test for previously viewed objects from both tasks then followed. P...

Bctusbdu ̋In this paper we want to minimize passengers waiting times at the bus stops by making buses wait at a stop. We compare a simple rule based approach to a MonteCarlo method for this problem. When allocated enough time, the Monte-Carlo method gives better results. If the passengers arrivals and the bus travel times are known, the best algorithm is nested Monte-Carlo search with memorizati...

Contextualization of Geospatial Database Semantics Written by Administrator Thursday, 19 May 2011 07:40 Last Updated Friday, 04 October 2013 17:19 Human interactions with geographical information are contextualized by problem-solving activities which endow meaning to geospatial data and processing. However, existing spatial data models have not taken this aspect of semantics into account. This ...

We present ongoing research concerning a communicationbased approach to information modelling. The general goal of our research is to understand and support (contextualized) modelling dialogues rather than the models that result from these dialogues or the modelling languages in which the models are expressed. We take the point of view that information modelling dialogues are subject to the sam...

representation Contextualized representation Instructional sequences

We have created a radial basis function network that allocates a new computational unit whenever an unusual pattern is presented to the network. The network learns by allocating new units and adjusting the parameters of existing units. If the network performs poorly on a presented pattern, then a new unit is allocated which memorizes the response to the presented pattern. If the network perform...

We propose an approach to address two undesired properties of unsupervised GANs. First, since GANs use only a continuous latent distribution to embed multiple classes or clusters of a dataset, GANs often do not correctly handle the structural discontinuity between disparate classes in a latent space. Second, discriminators of GANs easily forget about past generated samples by generators, incurr...

Background The aim of this paper is to explore how contextualization of a healthcare simulation scenarios impacts immersion, by using a novel objective instrument, the Immersion Score Rating Instrument. This instrument consists of 10 triggers that indicate reduced or enhanced immersion among participants in a simulation scenario. Triggers refer to events such as jumps in time or space (sign of ...