548 search results - page 84 / 110 » Optimization of Convex Risk Functions |
MP
2011
13 years 4 months ago
2011
Minimizing the rank of a matrix subject to constraints is a challenging problem that arises in many applications in machine learning, control theory, and discrete geometry. This c...
TIP
2011
13 years 4 months ago
2011
—We propose a general methodology (PURE-LET) to design and optimize a wide class of transform-domain thresholding algorithms for denoising images corrupted by mixed Poisson–Gau...
ICPR
2008
IEEE
14 years 11 months ago
2008
IEEE
In this work we investigate the relationship between Bregman distances and regularized Logistic Regression model. We present a detailed study of Bregman Distance minimization, a f...
DCC
2007
IEEE
14 years 9 months ago
2007
IEEE
Compressive sensing (CS) is a new signal acquisition technique for sparse and compressible signals. Rather than uniformly sampling the signal, CS computes inner products with rand...
MFCS
1994
Springer
14 years 1 months ago
1994
Springer
We show that the wavefront approach to Voronoi diagrams (a deterministic line sweep algorithm that does not use geometric transform) can be generalized to distance measures more g...