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» A spectral bundle method with bounds
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ICML
2009
IEEE
14 years 11 months ago
Proximal regularization for online and batch learning
Many learning algorithms rely on the curvature (in particular, strong convexity) of regularized objective functions to provide good theoretical performance guarantees. In practice...
Chuong B. Do, Quoc V. Le, Chuan-Sheng Foo
CORR
2010
Springer
172views Education» more  CORR 2010»
13 years 11 months ago
The MUSIC Algorithm for Sparse Objects: A Compressed Sensing Analysis
The MUSIC algorithm, and its extension for imaging sparse extended objects, with noisy data is analyzed by compressed sensing (CS) techniques. A thresholding rule is developed to a...
Albert Fannjiang
MOR
2008
110views more  MOR 2008»
13 years 10 months ago
Alternating Projections on Manifolds
We prove that if two smooth manifolds intersect transversally, then the method of alternating projections converges locally at a linear rate. We bound the speed of convergence in ...
Adrian S. Lewis, Jérôme Malick
SIAMJO
2008
212views more  SIAMJO 2008»
13 years 10 months ago
Convergence Rate of an Optimization Algorithm for Minimizing Quadratic Functions with Separable Convex Constraints
A new active set algorithm for minimizing quadratic functions with separable convex constraints is proposed by combining the conjugate gradient method with the projected gradient. ...
Radek Kucera
ISMIR
2005
Springer
157views Music» more  ISMIR 2005»
14 years 4 months ago
A Partial Searching Algorithm and Its Application for Polyphonic Music Transcription
This paper proposes an algorithm for studying spectral contents of pitched sounds in real-world recordings. We assume that the 2nd -order difference, w.r.t. partial index, of a pi...
Wen Xue, M. Sandler