We present a method for unsupervised learning of event classes from videos in which multiple actions might occur simultaneously. It is assumed that all such activities are produce...
Muralikrishna Sridhar, Anthony G. Cohn, David C. H...
We present a method for automatically generating focused and accurate topicspecific subjectivity lexicons from a general purpose polarity lexicon that allow users to pin-point sub...
Valentin Jijkoun, Maarten de Rijke, Wouter Weerkam...
We introduce a new method of a biped walking pattern generation by using a preview control of the zeromoment point (ZMP). First, the dynamics of a biped robot is modeled as a runn...
We use a generative history-based model to predict the most likely derivation of a dependency parse. Our probabilistic model is based on Incremental Sigmoid Belief Networks, a rec...
— In this paper we show that visual landmark generation and redetection is possible with a single feature per frame. The approach is based on the assumption that highly discrimin...