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» A Variational Approach to Learning Curves
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BMVC
2010
13 years 4 months ago
Detection of Curves with Unknown Endpoints using Minimal Path Techniques
We present a novel method to detect curves with unknown endpoints using minimal path techniques. Our work builds on the state of the art minimal path techniques currently used to ...
Vivek Kaul, Yichang Tsai, Anthony J. Yezzi
IJCNN
2006
IEEE
14 years 3 days ago
Learning to Rank by Maximizing AUC with Linear Programming
— Area Under the ROC Curve (AUC) is often used to evaluate ranking performance in binary classification problems. Several researchers have approached AUC optimization by approxi...
Kaan Ataman, W. Nick Street, Yi Zhang
ICA
2010
Springer
13 years 7 months ago
Dictionary Learning for Sparse Representations: A Pareto Curve Root Finding Approach
Abstract. A new dictionary learning method for exact sparse representation is presented in this paper. As the dictionary learning methods often iteratively update the sparse coeffi...
Mehrdad Yaghoobi, Mike E. Davies
ICCV
2011
IEEE
12 years 6 months ago
Localized Principal Component Analysis based Curve Evolution: A Divide and Conquer Approach
We propose a novel localized principal component analysis (PCA) based curve evolution approach which evolves the segmenting curve semi-locally within various target regions (divis...
Vikram Appia, Balaji Ganapathy, Tracy Faber, Antho...
ICIP
2005
IEEE
14 years 7 months ago
Curve segmentation using directional information, relation to pattern detection
We propose an extension of the conformal (or geodesic) active contour framework in which the conformal factor depends not only on the position of the curve but also on the directi...
Eric Pichon, Allen Tannenbaum