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SIGCSE
2009
ACM
161views Education» more  SIGCSE 2009»
15 years 11 months ago
An activity-based sensor networks course for undergraduates with sun spot devices
Wireless sensor networks are revolutionizing the instrumentation of the physical world, across scientific, industrial and military applications. In this paper, we describe our eff...
Damon Tyman, Nirupama Bulusu, Jens Mache
VRST
2009
ACM
15 years 11 months ago
Crime scene robot and sensor simulation
Virtual reality has been proposed as a training regime for a large number of tasks from surgery rehearsal (cf. [Robb et al. 1996], to combat simulation (cf. [U. S. Congress, Offi...
Robert Codd-Downey, Michael Jenkin
ACML
2009
Springer
15 years 11 months ago
Learning Algorithms for Domain Adaptation
A fundamental assumption for any machine learning task is to have training and test data instances drawn from the same distribution while having a sufficiently large number of tra...
Manas A. Pathak, Eric Nyberg
FPL
2009
Springer
161views Hardware» more  FPL 2009»
15 years 11 months ago
A multi-FPGA architecture for stochastic Restricted Boltzmann Machines
Although there are many neural network FPGA architectures, there is no framework for designing large, high-performance neural networks suitable for the real world. In this paper, ...
Daniel L. Ly, Paul Chow
PKDD
2009
Springer
146views Data Mining» more  PKDD 2009»
15 years 10 months ago
Parallel Subspace Sampling for Particle Filtering in Dynamic Bayesian Networks
Monitoring the variables of real world dynamic systems is a difficult task due to their inherent complexity and uncertainty. Particle Filters (PF) perform that task, yielding prob...
Eva Besada-Portas, Sergey M. Plis, Jesús Ma...