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ML
2007
ACM
156views Machine Learning» more  ML 2007»
15 years 1 months ago
Active learning for logistic regression: an evaluation
Which active learning methods can we expect to yield good performance in learning binary and multi-category logistic regression classifiers? Addressing this question is a natural ...
Andrew I. Schein, Lyle H. Ungar
CORR
2012
Springer
218views Education» more  CORR 2012»
13 years 10 months ago
Robust 1-bit compressed sensing and sparse logistic regression: A convex programming approach
This paper develops theoretical results regarding noisy 1-bit compressed sensing and sparse binomial regression. We demonstrate that a single convex program gives an accurate estim...
Yaniv Plan, Roman Vershynin
ICCV
2003
IEEE
16 years 4 months ago
Regression based Bandwidth Selection for Segmentation using Parzen Windows
We consider the problem of segmentation of images that can be modelled as piecewise continuous signals having unknown, non-stationary statistics. We propose a solution to this pro...
Maneesh Kumar Singh, Narendra Ahuja
DATE
2008
IEEE
161views Hardware» more  DATE 2008»
15 years 8 months ago
Spatial Correlation Extraction via Random Field Simulation and Production Chip Performance Regression
Statistical timing analysis needs a priori knowledge of process variations. Lack of such a priori knowledge of process variations prevents accurate statistical timing analysis, fo...
Bao Liu
152
Voted
MM
2009
ACM
233views Multimedia» more  MM 2009»
15 years 7 months ago
Enhancing semantic and geographic annotation of web images via logistic canonical correlation regression
Photo community sites such as Flickr and Picasa Web Album host a massive amount of personal photos with millions of new photos uploaded every month. These photos constitute an ove...
Liangliang Cao, Jie Yu, Jiebo Luo, Thomas S. Huang