… -up visual attention approach is that the attention is in general unconsciously driven by a low
level stimulus in the scene such as intensity, contrast and motion. This approach consists of …

… hierarchical data structure in the item response. In order to thoroughly analyze the results of
written tests … thesis applied both MLE and Bayesian approaches to item response analyses. …

… overall image illumination and contrast; we shall assume here that any required normalization
has been done or will be compensated for during the image analysis.) Storing histogran …

… 化約論者的瘋狂―以貝氏取向探討AKT1 在 精神分裂症多巴胺假說中的角色 Reductionist's
madness ― a Bayesian approach to investigate the possible role of AKT1 in the dopamine …

… Two notable examples of such MOGAs are the multi-objective hierarchical Bayesian … and
the self-adaptive switch, we propose a new mixing approach called Adaptive Donor Selection …

… vision allows further analysis and decision-making process. Inspired by these benefits, this
study presents the development of vision-… The study is implemented in two applications in …

… likelihood schemes into the more general Bayesian framework. In short, the … cases of
hierarchical Bayes (in the same way that the original ANCOVA models for PET were special cases …

… The analysis includes finding regions of tonality/key, labeling chords and cadences, …
harmonic functions and consequently forming a tree-like hierarchy. The result of this effort is the …

… ; but also have a detailed inspection on how a right data analysis of project factors impacts
on … Although they proved the results in case studies are better than before, we still doubt if the …