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SETN
2010
Springer
13 years 5 months ago
Visual Tracking by Adaptive Kalman Filtering and Mean Shift
A method for object tracking combining the accuracy of mean shift with the robustness to occlusion of Kalman filtering is proposed. At first, an estimation of the object's pos...
Vasileios Karavasilis, Christophoros Nikou, Aristi...
ICASSP
2009
IEEE
14 years 2 months ago
Complex NMF: A new sparse representation for acoustic signals
This paper presents a new sparse representation for acoustic signals which is based on a mixing model defined in the complex-spectrum domain (where additivity holds), and allows ...
Hirokazu Kameoka, Nobutaka Ono, Kunio Kashino, Shi...
CPHYSICS
2007
222views more  CPHYSICS 2007»
13 years 7 months ago
JADAMILU: a software code for computing selected eigenvalues of large sparse symmetric matrices
A new software code for computing selected eigenvalues and associated eigenvectors of a real symmetric matrix is described. The eigenvalues are either the smallest or those closes...
Matthias Bollhöfer, Yvan Notay
ICML
2009
IEEE
14 years 8 months ago
Proto-predictive representation of states with simple recurrent temporal-difference networks
We propose a new neural network architecture, called Simple Recurrent Temporal-Difference Networks (SR-TDNs), that learns to predict future observations in partially observable en...
Takaki Makino
ICCAD
2000
IEEE
113views Hardware» more  ICCAD 2000»
13 years 12 months ago
Don't Cares and Multi-Valued Logic Network Minimization
We address optimizing multi-valued (MV) logic functions in a multi-level combinational logic network. Each node in the network, called an MV-node, has multi-valued inputs and sing...
Yunjian Jiang, Robert K. Brayton