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JMLR
2010
140views more  JMLR 2010»
15 years 2 months ago
Learning Non-Stationary Dynamic Bayesian Networks
Learning dynamic Bayesian network structures provides a principled mechanism for identifying conditional dependencies in time-series data. An important assumption of traditional D...
Joshua W. Robinson, Alexander J. Hartemink
VLSI
2010
Springer
15 years 2 months ago
SESAM extension for fast MPSoC architectural exploration and dynamic streaming applications
Future systems will have to support multiple and concurrent dynamic compute-intensive applications, while respecting real-time and energy consumption constraints. To overcome these...
Nicolas Ventroux, Tanguy Sassolas, Raphael David, ...
CVPR
2003
IEEE
16 years 9 months ago
Learning Dynamics for Exemplar-based Gesture Recognition
This paper addresses the problem of capturing the dynamics for exemplar-based recognition systems. Traditional HMM provides a probabilistic tool to capture system dynamics and in ...
Ahmed M. Elgammal, Vinay D. Shet, Yaser Yacoob, La...
KDD
2007
ACM
155views Data Mining» more  KDD 2007»
16 years 7 months ago
A framework for community identification in dynamic social networks
We propose frameworks and algorithms for identifying communities in social networks that change over time. Communities are intuitively characterized as "unusually densely kni...
Chayant Tantipathananandh, Tanya Y. Berger-Wolf, D...
SODA
2010
ACM
181views Algorithms» more  SODA 2010»
16 years 4 months ago
On the Cell Probe Complexity of Dynamic Membership
We study the dynamic membership problem, one of the most fundamental data structure problems, in the cell probe model with an arbitrary cell size. We consider a cell probe model e...
KE YI, QIN ZHANG