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ICPR
2010
IEEE
15 years 6 months ago
A Meta-Learning Approach to Conditional Random Fields Using Error-Correcting Output Codes
—We present a meta-learning framework for the design of potential functions for Conditional Random Fields. The design of both node potential and edge potential is formulated as a...
Francesco Ciompi, Oriol Pujol, Petia Radeva
104
Voted
CIMAGING
2010
150views Hardware» more  CIMAGING 2010»
15 years 2 months ago
Randomized group testing for acoustic source localization
Undersea localization requires a computationally expensive partial differential equation simulation to test each candidate hypothesis location via matched filter. We propose a met...
William Mantzel, Justin K. Romberg, Karim Sabra
83
Voted
ICC
2008
IEEE
101views Communications» more  ICC 2008»
15 years 7 months ago
SINR Estimation in Random Beamforming with Noisy MIMO Channel Measurements
—An improved SINR metric is proposed for the random beamforming scheme introduced by Sharif and Hassibi, when the channel observation used to compute the SINR is known to be nois...
Roland Tresch, Maxime Guillaud
GECCO
2004
Springer
137views Optimization» more  GECCO 2004»
15 years 6 months ago
Modeling Coevolutionary Genetic Algorithms on Two-Bit Landscapes: Random Partnering
Abstract. A model of coevolutioinary genetic algorithms (COGA) consisting of two populations coevolving on two-bit landscapes is investigated in terms of the effects of random par...
Ming Chang, Kazuhiro Ohkura, Kanji Ueda, Masaharu ...
102
Voted
NIPS
2007
15 years 2 months ago
Random Features for Large-Scale Kernel Machines
To accelerate the training of kernel machines, we propose to map the input data to a randomized low-dimensional feature space and then apply existing fast linear methods. The feat...
Ali Rahimi, Benjamin Recht