Although many powerful AI and machine learning techniques exist, it remains difficult to quickly create AI for embodied virtual agents that produces visually lifelike behavior. T...
Jonathan Dinerstein, Parris K. Egbert, Dan Ventura
This paper describes a novel browsing paradigm, taking benefit of the various types of links (e.g. thematic, temporal, references, etc.) that can be automatically built between mul...
Abstract. Exploring any new data set always starts with gathering overview information. When this process is done non-visually, interactive sonification techniques have proved to b...
We introduce a framework for actively learning visual categories from a mixture of weakly and strongly labeled image examples. We propose to allow the categorylearner to strategic...
We extend position and phase-shift tuning, concepts already well established in the disparity energy neuron literature, to motion energy neurons. We show that Reichardt-like detec...