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SDM
2003
SIAM
184views Data Mining» more  SDM 2003»
13 years 11 months ago
Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data
The problem of finding clusters in data is challenging when clusters are of widely differing sizes, densities and shapes, and when the data contains large amounts of noise and out...
Levent Ertöz, Michael Steinbach, Vipin Kumar
MICCAI
2005
Springer
14 years 10 months ago
Automated Surface Matching Using Mutual Information Applied to Riemann Surface Structures
Many medical imaging applications require the computation of dense correspondence vector fields that match one surface with another. To avoid the need for a large set of manually-d...
Yalin Wang, Ming-Chang Chiang, Paul M. Thompson
CVPR
2010
IEEE
14 years 6 months ago
Global and Efficient Self-Similarity for Object Classification and Detection
Self-similarity is an attractive image property which has recently found its way into object recognition in the form of local self-similarity descriptors [5, 6, 14, 18, 23, 27] In...
Thomas Deselaers, Vittorio Ferrari
ICIP
2007
IEEE
14 years 1 months ago
Finding Optimal Integral Sampling Lattices for a given Frequency Support in Multidimensions
The search for alias-free sampling lattices for a given frequency support, in particular those lattices achieving minimum sampling densities, is a fundamental issue in various app...
Yue M. Lu, Minh N. Do
ICPR
2006
IEEE
14 years 11 months ago
Texture-Constrained Shape Prediction for Mouth Contour Extraction and its State Estimation
In this paper, we present an automatic mouth contour and state estimation system. An efficient mouth contour extraction algorithm is proposed under the framework of Active Shape M...
Zhaorong Li, Haizhou Ai