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KDD
2009
ACM
215views Data Mining» more  KDD 2009»
15 years 10 months 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
ICPR
2008
IEEE
15 years 11 months ago
Continuous graph cuts for prior-based object segmentation
In this paper we propose a novel prior-based variational object segmentation method in a global minimization framework which unifies image segmentation and image denoising. The id...
Anders Heyden, Christian Gosch, Christoph Schn&oum...
CADE
2009
Springer
15 years 10 months ago
Ground Interpolation for Combined Theories
Abstract. We give a method for modular generation of ground interpolants in modern SMT solvers supporting multiple theories. Our method uses a novel algorithm to modify the proof t...
Amit Goel, Sava Krstic, Cesare Tinelli
MVA
2007
173views Computer Vision» more  MVA 2007»
14 years 11 months ago
Microscopic Image Segmentation with Two-dimensional Exponential Entropy Based on Hybrid Microcanonical Annealing
Counting cells and following the evolution of the biological layers are important applications in microscopic imagery. In this paper, a microscopic image segmentation method with ...
Amir Nakib, Hamouche Oulhadj, Patrick Siarry
CVPR
2008
IEEE
15 years 12 months ago
Dimensionality reduction using covariance operator inverse regression
We consider the task of dimensionality reduction for regression (DRR) whose goal is to find a low dimensional representation of input covariates, while preserving the statistical ...
Minyoung Kim, Vladimir Pavlovic