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PAMI
2006
127views more  PAMI 2006»
13 years 9 months ago
Incremental Nonlinear Dimensionality Reduction by Manifold Learning
Understanding the structure of multidimensional patterns, especially in unsupervised case, is of fundamental importance in data mining, pattern recognition and machine learning. Se...
Martin H. C. Law, Anil K. Jain
PAMI
2006
107views more  PAMI 2006»
13 years 9 months ago
Custom-Built Moments for Edge Location
We present a general construction of functions whose moments serve to locate and parametrize step edges within an image. Previous use of moments to locate edges was limited to func...
Irina Popovici, William Douglas Withers
PAMI
2006
111views more  PAMI 2006»
13 years 9 months ago
Global Segmentation and Curvature Analysis of Volumetric Data Sets Using Trivariate B-Spline Functions
This paper presents a method to globally segment volumetric images into regions that contain convex or concave (elliptic) iso-surfaces, planar or cylindrical (parabolic) iso-surfa...
Octavian Soldea, Gershon Elber, Ehud Rivlin
PAMI
2006
114views more  PAMI 2006»
13 years 9 months ago
Nonparametric Supervised Learning by Linear Interpolation with Maximum Entropy
Nonparametric neighborhood methods for learning entail estimation of class conditional probabilities based on relative frequencies of samples that are "near-neighbors" of...
Maya R. Gupta, Robert M. Gray, Richard A. Olshen
PAMI
2006
81views more  PAMI 2006»
13 years 9 months ago
Robust and Accurate Vectorization of Line Drawings
This paper presents a method for vectorizing the graphical parts of paper-based line drawings. The method consists of separating the input binary image into layers of homogeneous t...
Xavier Hilaire, Karl Tombre