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» On Conditions for Linearity of Optimal Estimation
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ICML
2005
IEEE
15 years 10 months ago
Active learning for Hidden Markov Models: objective functions and algorithms
Hidden Markov Models (HMMs) model sequential data in many fields such as text/speech processing and biosignal analysis. Active learning algorithms learn faster and/or better by cl...
Brigham Anderson, Andrew Moore
ISLPED
2010
ACM
202views Hardware» more  ISLPED 2010»
14 years 10 months ago
MODEST: a model for energy estimation under spatio-temporal variability
Estimation of static and dynamic energy of caches is critical for high-performance low-power designs. Commercial CAD tools performing energy estimation statically are not aware of...
Shrikanth Ganapathy, Ramon Canal, Antonio Gonz&aac...
ICIP
2003
IEEE
15 years 11 months ago
Sparse decompositions in "incoherent" dictionaries
The purpose of this paper is to generalize a result by Donoho, Huo, Elad and Bruckstein on sparse representations of signals/images in a union of two orthonormal bases. We conside...
Morten Nielsen, Rémi Gribonval
NIPS
2001
14 years 11 months ago
Learning Lateral Interactions for Feature Binding and Sensory Segmentation
We present a new approach to the supervised learning of lateral interactions for the competitive layer model (CLM) dynamic feature binding architecture. The method is based on con...
Heiko Wersing
OL
2010
77views more  OL 2010»
14 years 8 months ago
A note on Burer's copositive representation of mixed-binary QPs
In an important paper, Burer [2] recently showed how to reformulate general mixed-binary quadratic optimization problems (QPs) into copositive programs where a linear functional i...
Immanuel M. Bomze, Florian Jarre