BibSLEIGH
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Used together with:
improv (4)
estim (3)
optim (2)
wavelet (2)
general (2)

Stem shrinkag$ (all stems)

11 papers:

ICMLICML-c2-2013-GongZLHY #algorithm #optimisation #problem
A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems (PG, CZ, ZL, JH, JY), pp. 37–45.
ICMLICML-c2-2013-Telgarsky
Margins, Shrinkage, and Boosting (MT), pp. 307–315.
SACSAC-2009-KontosB #modelling #network #visual notation
An improved shrinkage estimator to infer regulatory networks with Gaussian graphical models (KK, GB), pp. 793–798.
CASECASE-2008-SenthilkumaranPR
Shrinkage compensation along single direction dexel space for improving accuracy in Selective Laser Sintering (KS, PMP, PVMR), pp. 827–832.
ECIRECIR-2007-LiuYZQM #clustering #optimisation #performance #scalability
Fast Large-Scale Spectral Clustering by Sequential Shrinkage Optimization (TYL, HYY, XZ, TQ, WYM), pp. 319–330.
ICPRICPR-v3-2006-WuR #adaptation #image
Combining Adaptive PDE and Wavelet Shrinkage in Image Denoising with Edge Enhancing Property (JW, QR), pp. 718–721.
SIGMODSIGMOD-2004-IpeirotisG #database #using
When one Sample is not Enough: Improving Text Database Selection Using Shrinkage (PGI, LG), pp. 767–778.
ICPRICPR-v4-2004-YuanB #adaptation #estimation
Subband Noise Estimation for Adaptive Wavelet Shrinkage (XY, BPB), pp. 885–888.
ICPRICPR-v1-2002-HiranoHTOE #3d #image #quantifier #using
Quantification of Shrinkage of Lung Lobe from Chest CT Images Using the 3D Extended Voronoi Division and its Application to the Benign/Malignant Discrimination of Tumor Shadows (YH, JiH, JiT, HO, KE), pp. 751–754.
KDDKDD-2002-Agarwal
Shrinkage estimator generalizations of Proximal Support Vector Machines (DKA), pp. 173–182.
ICMLICML-1998-McCallumRMN #classification
Improving Text Classification by Shrinkage in a Hierarchy of Classes (AM, RR, TMM, AYN), pp. 359–367.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
Hosted as a part of SLEBOK on GitHub.