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KDD
2009
ACM
215views Data Mining» more  KDD 2009»
16 years 10 days ago
Large-scale sparse logistic regression
Logistic Regression is a well-known classification method that has been used widely in many applications of data mining, machine learning, computer vision, and bioinformatics. Spa...
Jun Liu, Jianhui Chen, Jieping Ye
AAAI
2007
15 years 2 months ago
A Mathematical Programming Formulation for Sparse Collaborative Computer Aided Diagnosis
A mathematical programming formulation is proposed to eliminate irrelevant and redundant features for collaborative computer aided diagnosis which requires to detect multiple clin...
Jinbo Bi, Tao Xiong
NIPS
1998
15 years 1 months ago
Using Analytic QP and Sparseness to Speed Training of Support Vector Machines
Training a Support Vector Machine (SVM) requires the solution of a very large quadratic programming (QP) problem. This paper proposes an algorithm for training SVMs: Sequential Mi...
John C. Platt
ICCV
2011
IEEE
13 years 11 months ago
Dense Disparity Maps from Sparse Disparity Measurements
In this work we propose a method for estimating disparity maps from very few measurements. Based on the theory of Compressive Sensing, our algorithm accurately reconstructs dispar...
Simon Hawe, Martin Kleinsteuber, Klaus Diepold
ICPR
2006
IEEE
15 years 5 months ago
Optimal Global Mosaic Generation from Retinal Images
We present a method to construct a mosaic from multiple color and fluorescein retinal images. A set of images taken from different views at different times is difficult to registe...
Tae Eun Choe, Isaac Cohen, Mun Wai Lee, Gér...