We model dependencies between m multivariate continuous-valued information sources by a combination of (i) a generalized canonical correlations analysis (gCCA) to reduce dimensionality while preserving dependencies in m − 1 of them, and (ii) summarizing dependencies with the remaining one by associative clustering. This new combination of methods avoids multiway associative clustering which wou...

In this paper we address the problem of analyzing and managing complex dynamic scenes captured in video. We present an approach to summarize video datasets by analyzing the trajectories of objects within them. Our work is based on the identification of nodes in these trajectories as critical points that describe the behavior of an object over a video segment. The time instances that correspond ...

Individuals can easily record their movements in space nowadays with personal navigation devices based on the GPS technology. The recorded data contain in principle detailed information about a traveled route. The information inherent in the data could be used to automatically generate travel diaries. In this paper we study a method to summarize and to symbolize a route according to the cardina...

As increasingly large-scale multiagent simulations are being implemented, new methods are becoming necessary to make sense of the results of these simulations. Even concisely summarizing the results of a given simulation run is a challenge. Here we pose this as the problem of simulation summarization: how to extract the causally-relevant descriptions of the trajectories of the agents in the sim...

Online argumentative dialog is a rich source of information on popular beliefs and opinions that could be useful to companies as well as governmental or public policy agencies. Compact, easy to read, summaries of these dialogues would thus be highly valuable. A priori, it is not even clear what form such a summary should take. Previous work on summarization has primarily focused on summarizing ...

As more and more people are expressing their opinions on the web in the form of weblogs (or blogs), research on the blogosphere is gaining popularity. As the outcome of this research, different natural language tools such as querybased opinion summarizers have been developed to mine and organize opinions on a particular event or entity in blog entries. However, the variety of blog posts and the...

For automatic summarization of soccer videos one can do the detecting tasks at the beginning of the game and then proceed to record with events. The new method we have provided here does the summarizing without detecting the events, and provides us with a mechanism for control the time of output film. One of the tools we used to do this was distinguishing between the views of the goal and the f...

We submitted runs from two different systems for the update summary task at TAC 2009. The first system refined its use of Roget’s Thesaurus, moving beyond 2008’s semantic relatedness to compute an entropy-based uniqueness measure, with improved results in summary construction. The other system, our first use of deeper semantic knowledge, represents sentences as FrameNet types in a conceptual gr...

Remote monitoring and response are intended to be a major application for sensor networks. The low cost and untethered nature of microsensors makes it possible to deploy them over large geographical areas and close to phenomena of interest, enabling unprecedented spatial and temporal measurement resolution. However, our ability to “view” (access) the remote phenomenon through this “virtual tele...

This paper presents a supervised machine learning approach for summarizing legal documents. A commercial system for the analysis and summarization of legal documents provided us with a corpus of almost 4,000 text and extract pairs for our machine learning experiments. That corpus was pre-processed to identify the selected source sentences in extracts from which we generated legal structured dat...