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CVPR
2012
IEEE
11 years 9 months ago
Understanding collective crowd behaviors: Learning a Mixture model of Dynamic pedestrian-Agents
In this paper, a new Mixture model of Dynamic pedestrian-Agents (MDA) is proposed to learn the collective behavior patterns of pedestrians in crowded scenes. Collective behaviors ...
Bolei Zhou, Xiaogang Wang, Xiaoou Tang
WWW
2007
ACM
14 years 8 months ago
Why we search: visualizing and predicting user behavior
The aggregation and comparison of behavioral patterns on the WWW represent a tremendous opportunity for understanding past behaviors and predicting future behaviors. In this paper...
Eytan Adar, Daniel S. Weld, Brian N. Bershad, Stev...
ICSM
2007
IEEE
14 years 1 months ago
On the prediction of the evolution of libre software projects
Libre (free / open source) software development is a complex phenomenon. Many actors (core developers, casual contributors, bug reporters, patch submitters, users, etc.), in many ...
Israel Herraiz, Jesús M. González-Ba...
PAKDD
2004
ACM
127views Data Mining» more  PAKDD 2004»
14 years 21 days ago
Exploiting Recurring Usage Patterns to Enhance Filesystem and Memory Subsystem Performance
In many cases, normal uses of a system form patterns that will repeat. The most common patterns can be collected into a prediction model which will essentially predict that usage p...
Benjamin Rutt, Srinivasan Parthasarathy
EWCBR
2008
Springer
13 years 9 months ago
Understanding Dubious Future Problems
Abstract. Being able to predict the performance of a Case-Based Reasoning(CBR) system against a set of future problems would provide invaluable information for design and maintenan...
Oguz Mülâyim, Josep Lluís Arcos