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ICPR
2002
IEEE
14 years 8 months ago
Boosting and Structure Learning in Dynamic Bayesian Networks for Audio-Visual Speaker Detection
Bayesian networks are an attractive modeling tool for human sensing, as they combine an intuitive graphical representation with ef?cient algorithms for inference and learning. Ear...
Tanzeem Choudhury, James M. Rehg, Vladimir Pavlovi...
AHS
2006
IEEE
125views Hardware» more  AHS 2006»
14 years 1 months ago
Evolving Hardware with Self-reconfigurable connectivity in Xilinx FPGAs
Randomly connecting networks have proven to be universal computing machines. By interconnecting a set of nodes in a random way one can model very complicated non-linear dynamic sy...
Andres Upegui, Eduardo Sanchez
IJON
1998
95views more  IJON 1998»
13 years 7 months ago
Self-organization and segmentation in a laterally connected orientation map of spiking neurons
The RF-SLISSOM model integrates two separate lines of research on computational modeling of the visual cortex. Laterally connected self-organizing maps have been used to model how...
Yoonsuck Choe, Risto Miikkulainen
DCOSS
2007
Springer
14 years 1 months ago
A Connectivity Based Partition Approach for Node Scheduling in Sensor Networks
This paper presents a Connectivity based Partition Approach (CPA) to reduce the energy consumption of a sensor network by sleep scheduling among sensor nodes. CPA partitions sensor...
Yong Ding, Chen Wang, Li Xiao
ICMI
2004
Springer
235views Biometrics» more  ICMI 2004»
14 years 1 months ago
Multimodal detection of human interaction events in a nursing home environment
In this paper, we propose a multimodal system for detecting human activity and interaction patterns in a nursing home. Activities of groups of people are firstly treated as intera...
Datong Chen, Robert Malkin, Jie Yang