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» Detecting Change in Data Streams
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SCALESPACE
2009
Springer
15 years 9 months ago
A Variational Model for Interactive Shape Prior Segmentation and Real-Time Tracking
In this paper, we introduce a semi-automated segmentation method based on minimizing the Geodesic Active Contour energy incorporating a shape prior. We increase the robustness of t...
Manuel Werlberger, Thomas Pock, Markus Unger, Hors...
WICON
2008
15 years 4 months ago
Seamless content delivery
Widespread and affordable broadband access opens up opportunities for delivery of new streaming services. However, what is expected to fundamentally change the way that people use...
Theodore Zahariadis, George Leoleis, Thomas Schier...
138
Voted
EDBT
2004
ACM
110views Database» more  EDBT 2004»
16 years 3 months ago
Using Convolution to Mine Obscure Periodic Patterns in One Pass
The mining of periodic patterns in time series databases is an interesting data mining problem that can be envisioned as a tool for forecasting and predicting the future behavior o...
Mohamed G. Elfeky, Walid G. Aref, Ahmed K. Elmagar...
99
Voted
PAKDD
2009
ACM
72views Data Mining» more  PAKDD 2009»
15 years 10 months ago
A Multi-resolution Approach for Atypical Behaviour Mining
Atypical behaviours are the basis of a valuable knowledge in domains related to security (e.g. fraud detection for credit card [1], cyber security [4] or safety of critical systems...
Alice Marascu, Florent Masseglia
130
Voted
FPGA
2006
ACM
117views FPGA» more  FPGA 2006»
15 years 7 months ago
Context-free-grammar based token tagger in reconfigurable devices
In this paper, we present reconfigurable hardware architecture for detecting semantics of streaming data on 1+ Gbps networks. The design leverages on the characteristics of contex...
Young H. Cho, James Moscola, John W. Lockwood