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» The Convergence of Iterated Classification
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91
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CORR
2010
Springer
96views Education» more  CORR 2010»
15 years 23 days ago
LSMR: An iterative algorithm for sparse least-squares problems
Abstract. An iterative method LSMR is presented for solving linear systems Ax = b and leastsquares problem min Ax - b 2, with A being sparse or a fast linear operator. LSMR is base...
David Fong, Michael Saunders
ECML
2006
Springer
15 years 4 months ago
Constant Rate Approximate Maximum Margin Algorithms
We present a new class of perceptron-like algorithms with margin in which the "effective" learning rate, defined as the ratio of the learning rate to the length of the we...
Petroula Tsampouka, John Shawe-Taylor
99
Voted
VL
2009
IEEE
175views Visual Languages» more  VL 2009»
15 years 7 months ago
TurKit: Tools for iterative tasks on mechanical turk
Mechanical Turk (MTurk) is an increasingly popular web service for paying people small rewards to do human computation tasks. Current uses of MTurk typically post independent para...
Greg Little, Lydia B. Chilton, Max Goldman, Robert...
124
Voted
PRL
2010
209views more  PRL 2010»
14 years 7 months ago
Efficient update of the covariance matrix inverse in iterated linear discriminant analysis
For fast classification under real-time constraints, as required in many imagebased pattern recognition applications, linear discriminant functions are a good choice. Linear discr...
Jan Salmen, Marc Schlipsing, Christian Igel
129
Voted
ICIP
2008
IEEE
16 years 2 months ago
Conditional iterative decoding of Two Dimensional Hidden Markov Models
Two Dimensional Hidden Markov Models (2D-HMMs) provide substantial benefits for many computer vision and image analysis applications. Many fundamental image analysis problems, inc...
Mehmet Emre Sargin, Alphan Altinok, Kenneth Rose, ...