This paper discusses nature of action research, and its particular strengths in disciplines such as information systems (IS). However concerns are raised about the quality and rigo...
We present a new method for segmenting actions into primitives and classifying them into a hierarchy of action classes. Our scheme learns action classes in an unsupervised manner ...
Q-learning, a most widely used reinforcement learning method, normally needs well-defined quantized state and action spaces to converge. This makes it difficult to be applied to re...
Current approaches to motion category recognition typically focus on either full spatiotemporal volume analysis (holistic approach) or analysis of the content of spatiotemporal in...
This paper presents the case for Information Visualization (IV) to be a central, integrated component of study in Information Science. We summarize the current state of IV within ...
Marilyn Ostergren, Jeff Hemsley, Miranda Belarde-L...