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KDD
2010
ACM
218views Data Mining» more  KDD 2010»
15 years 10 months ago
Online multiscale dynamic topic models
We propose an online topic model for sequentially analyzing the time evolution of topics in document collections. Topics naturally evolve with multiple timescales. For example, so...
Tomoharu Iwata, Takeshi Yamada, Yasushi Sakurai, N...
SLOGICA
2010
135views more  SLOGICA 2010»
15 years 1 months ago
A Contraction-free and Cut-free Sequent Calculus for Propositional Dynamic Logic
In this paper we present a sequent calculus for propositional dynamic logic built using an enriched version of the tree-hypersequent method and including an infinitary rule for the...
Brian Hill, Francesca Poggiolesi
EUMAS
2006
15 years 8 months ago
A Customizable Multi-Agent System for Distributed Data Mining
We present a general Multi-Agent System framework for distributed data mining based on a Peer-toPeer model. The framework adopts message-based asynchronous communication and a dyn...
Giancarlo Fortino, Giuseppe Di Fatta
KDD
2005
ACM
91views Data Mining» more  KDD 2005»
16 years 7 months ago
On mining cross-graph quasi-cliques
Joint mining of multiple data sets can often discover interesting, novel, and reliable patterns which cannot be obtained solely from any single source. For example, in cross-marke...
Jian Pei, Daxin Jiang, Aidong Zhang
ICCV
2009
IEEE
16 years 11 months ago
Learning Pedestrian Dynamics from the Real World
In this paper we describe a method to learn parameters which govern pedestrian motion by observing video data. Our learning framework is based on variational mode learning and a...
Paul Scovanner, Marshall Tappen