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NIPS
2008
15 years 8 months ago
Non-stationary dynamic Bayesian networks
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
Joshua W. Robinson, Alexander J. Hartemink
MVA
2000
172views Computer Vision» more  MVA 2000»
15 years 8 months ago
Partial Face Extraction and Recognition Using Radial Basis Function Networks
work, applies a nonlinear transformation from the input space to the hidden space. The output layer Partial face images, e.g.1 eyes, nose, and ear supplies the response of the netw...
Nan He, Kiminori Sato, Yukitoshi Takahashi
CORR
2004
Springer
147views Education» more  CORR 2004»
15 years 6 months ago
Collaborative Storage Management In Sensor Networks
In this paper, we consider a class of sensor networks where the data is not required in real-time by an observer; for example, a sensor network monitoring a scientific phenomenon ...
Sameer Tilak, Nael B. Abu-Ghazaleh, Wendi Rabiner ...
MOBIHOC
2010
ACM
15 years 4 months ago
Near optimal multi-application allocation in shared sensor networks
Recent years have witnessed the emergence of shared sensor networks as integrated infrastructure for multiple applications. It is important to allocate multiple applications in a ...
You Xu, Abusayeed Saifullah, Yixin Chen, Chenyang ...
INFOCOM
2008
IEEE
16 years 1 months ago
Reducing Maximum Stretch in Compact Routing
—It is important in communication networks to use routes that are as short as possible (i.e have low stretch) while keeping routing tables small. Recent advances in compact routi...
Mihaela Enachescu, Mei Wang, Ashish Goel