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KDD
2006
ACM
240views Data Mining» more  KDD 2006»
14 years 8 months ago
Adaptive event detection with time-varying poisson processes
Time-series of count data are generated in many different contexts, such as web access logging, freeway traffic monitoring, and security logs associated with buildings. Since this...
Alexander T. Ihler, Jon Hutchins, Padhraic Smyth
ECCV
2002
Springer
14 years 9 months ago
Towards Improved Observation Models for Visual Tracking: Selective Adaptation
Abstract. An important issue in tracking is how to incorporate an appropriate degree of adaptivity into the observation model. Without any adaptivity, tracking fails when object pr...
Andrew Blake, Jaco Vermaak, Michel Gangnet, Patric...
ICIP
2006
IEEE
14 years 9 months ago
Aggregated Dynamic Background Modeling
Standard practices in background modeling learn a separate model for every pixel in the image. However, in dynamic scenes the connection between an observation and the place where...
Amit Adam, Ehud Rivlin, Ilan Shimshoni
KDD
2003
ACM
192views Data Mining» more  KDD 2003»
14 years 8 months ago
Efficient elastic burst detection in data streams
Burst detection is the activity of finding abnormal aggregates in data streams. Such aggregates are based on sliding windows over data streams. In some applications, we want to mo...
Yunyue Zhu, Dennis Shasha
CHI
2007
ACM
14 years 8 months ago
Decision-making strategies in design meetings
This project aims to further our understanding of the practice of user-centered design (UCD) by observing the argumentation strategies used by designers in faceto-face meetings in...
Erin Friess