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NN
2010
Springer
183views Neural Networks» more  NN 2010»
13 years 6 months ago
Dimensionality reduction for density ratio estimation in high-dimensional spaces
The ratio of two probability density functions is becoming a quantity of interest these days in the machine learning and data mining communities since it can be used for various d...
Masashi Sugiyama, Motoaki Kawanabe, Pui Ling Chui
CORR
2010
Springer
178views Education» more  CORR 2010»
13 years 5 months ago
Adaptive Algorithms for Coverage Control and Space Partitioning in Mobile Robotic Networks
We consider deployment problems where a mobile robotic network must optimize its configuration in a distributed way in order to minimize a steady-state cost function that depends ...
Jerome Le Ny, George J. Pappas
MP
2011
13 years 3 months ago
Null space conditions and thresholds for rank minimization
Minimizing the rank of a matrix subject to constraints is a challenging problem that arises in many applications in machine learning, control theory, and discrete geometry. This c...
Benjamin Recht, Weiyu Xu, Babak Hassibi
ICIP
2005
IEEE
14 years 10 months ago
Active contours on statistical manifolds and texture segmentation
A new approach to active contours on statistical manifolds is presented. The statistical manifolds are 2dimensional Riemannian manifolds that are statistically defined by maps that...
Sang-Mook Lee, A. Lynn Abbott, Neil A. Clark, Phil...
ISBI
2008
IEEE
14 years 9 months ago
FMRI brain activity and underlying hemodynamics estimation in a new Bayesian framework
The emerging functional MRI (Magnetic Resonance Imaging), fMRI, imaging modality was developed to obtain non-invasive information regarding the neural processes behind pre-determi...
David M. Afonso, João M. Sanches, Martin H....