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MICCAI
2005
Springer
14 years 1 months ago
Characterizing Vascular Connectivity from microCT Images
Abstract. X-ray microCT (computed tomography) has become a valuable tool in the analysis of vascular architecture in small animals. Because of its high resolution, a detailed asses...
Marcel Jackowski, Xenophon Papademetris, Lawrence ...
JGS
2002
92views more  JGS 2002»
13 years 8 months ago
Mapping of stream microhabitats with high spatial resolution hyperspectral imagery
Maximum likelihood supervised classifications with 1-m 128 band hyperspectral data accurately map in-stream habitats in the Lamar River, Wyoming with producer's accuracies of ...
W. Andrew Marcus
NN
2000
Springer
177views Neural Networks» more  NN 2000»
13 years 8 months ago
Independent component analysis: algorithms and applications
A fundamental problem in neural network research, as well as in many other disciplines, is finding a suitable representation of multivariate data, i.e. random vectors. For reasons...
Aapo Hyvärinen, Erkki Oja
SIROCCO
2007
13 years 9 months ago
Data Aggregation in Sensor Networks: Balancing Communication and Delay Costs
In a sensor network the sensors, or nodes, obtain data and have to communicate these data to a central node. Because sensors are battery powered they are highly energy constrained....
Peter Korteweg, Alberto Marchetti-Spaccamela, Leen...
ICIP
2007
IEEE
13 years 8 months ago
Robust Multi-Modal Group Action Recognition in Meetings from Disturbed Videos with the Asynchronous Hidden Markov Model
The Asynchronous Hidden Markov Model (AHMM) models the joint likelihood of two observation sequences, even if the streams are not synchronised. We explain this concept and how the...
Marc Al-Hames, Claus Lenz, Stephan Reiter, Joachim...