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GRC
2010
IEEE
13 years 8 months ago
Learning Multiple Latent Variables with Self-Organizing Maps
Inference of latent variables from complicated data is one important problem in data mining. The high dimensionality and high complexity of real world data often make accurate infe...
Lili Zhang, Erzsébet Merényi
IJCNN
2006
IEEE
14 years 1 months ago
Classifying Single-Trial ERPs from Visual and Frontal Cortex during Free Viewing
—Event-related potentials (ERPs) recorded at the scalp are indicators of brain activity associated with eventrelated information processing; hence they may be suitable for the as...
Akaysha C. Tang, Matthew T. Sutherland, Christophe...
IWANN
2005
Springer
14 years 29 days ago
Characterizing Self-developing Biological Neural Networks: A First Step Towards Their Application to Computing Systems
Carbon nanotubes are often seen as the only alternative technology to silicon transistors. While they are the most likely short-term alternative, other longer-term alternatives sho...
Hugues Berry, Olivier Temam
PERCOM
2008
ACM
14 years 7 months ago
Topology Formation in IEEE 802.15.4: Cluster-Tree Characterization
The IEEE 802.15.4 standard defines a set of procedures to set-up a Low-Rate Wireless Personal Area Network where nodes self-organize into a logical communication structure through ...
Francesca Cuomo, Sara Della Luna, Petia Todorova, ...
CVPR
2009
IEEE
15 years 2 months ago
Anomaly Detection in Extremely Crowded Scenes using Spatio-Temporal Motion Pattern Models
Extremely crowded scenes present unique challenges to video analysis that cannot be addressed with conventional approaches. We present a novel statistical framework for modeling...
Louis Kratz (Drexel University), Ko Nishino (Drexe...