There have been several recent attempts at using Artificial Intelligence systems to model
aspects of consciousness (Gamez, 2008; Reggia, 2013). Deep Neural Networks have been …

This research addressed a critical limitation in the area of computational intelligence by
developing a general purpose architecture for information processing and decision making …

In this work, we present a novel improvement to classical vehicle tracking algorithms by
implementing a three-tier architecture consisting of a data-centric vehicle tracker paired with …

Understanding human consciousness is considered one of the greatest challenges of
modern science. In fact, the challenge is not only in the study of human beings, but also in …

This dissertation addresses a problem found in supervised machine learning (ML)
classification, that the target variable, ie, the variable a classifier predicts, has to be identified …

によるデータ制作を連携して一つのコンテンツを生成して行く. アセット (コンテンツデータ)
が複数の開発者の手をわたって加工されながら最終データになる過程を 「コンテンツパイプライン」 …