We review the present status of simulations of top production and decay in the HERWIG Monte Carlo event generator. We show the phenomenological impact of the recently-implemented matrix-element corrections to top decays for e + e − collisions at 360 GeV and discuss possible further improvements for studies of future experiments at the Linear Collider.

A simpler neural-network approach is presented for the analysis of the top quark non-leptonic decay channel in events of the D0 Collaboration. Results for the top quark signal are comparable to those found by the D0 Collaboration by a more elaborate handling of the event information used as input to the neural network.

We present a novel approach for automatically inferring models of multiobject events. Objects are first detected and tracked, their motion is then segmented into a set of primitive events. These primitive events then form the nodes in aMarkov network that encodes the entire event space. A bottomup/top-down search algorithm is developed to detect typical event structures that are used for classi...

We present a novel approach for automatically inferring models of multiobject events. Objects are first detected and tracked, their motion is then segmented into a set of primitive events. These primitive events then form the nodes in a Markov network that encodes the entire event space. A bottomup/top-down search algorithm is developed to detect typical event structures that are used for class...

This study investigated whether film viewers recognize four basic genres (comic, drama, action and nonfiction) on the basis of genre-typical event cues or of genretypical filmic realization cues of events. Event cues are similar to the narrative content of a film sequence, while filmic realization cues are similar to stylistic surface cues of a film sequence. It was predicted that genre recogni...

We present initial results of our effort to build an extensive and complete taxonomy of events described in news articles. By crawling Wikipedia’s current events portal we identified nine top–level event types. Using articles referenced by the portal we built a event type classification model for news articles using lexical and semantic features and present a small–scale manual evaluation of it...

Category learning. This process enables variations on the same object or event to learn how to activate the same category, or symbol, that represents this object or event in the brain. Activating such a learned category enables the brain to recognize the object or event through a process that includes read-out of the category's learned top-down expectation, which focuses attention upon the crit...