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CVPR
2003
IEEE
14 years 11 months ago
Learning Affinity Functions for Image Segmentation: Combining Patch-based and Gradient-based Approaches
This paper studies the problem of combining region and boundary cues for natural image segmentation. We employ a large database of manually segmented images in order to learn an o...
Charless Fowlkes, David R. Martin, Jitendra Malik
INCDM
2007
Springer
97views Data Mining» more  INCDM 2007»
14 years 3 months ago
Clustering by Random Projections
Abstract. Clustering algorithms for multidimensional numerical data must overcome special difficulties due to the irregularities of data distribution. We present a clustering algo...
Thierry Urruty, Chabane Djeraba, Dan A. Simovici
ICIG
2009
IEEE
14 years 3 months ago
Image Segmentation Via Iterative Geodesic Averaging
We present a simple and fast method for performing unsupervised segmentation. Our method works by centering a square window on each pixel of the input image. Each pixel is then as...
Asmaa Hosni, Michael Bleyer, Margrit Gelautz
IBPRIA
2007
Springer
14 years 3 months ago
Motion Segmentation from Feature Trajectories with Missing Data
Abstract. This paper presents a novel approach for motion segmentation from feature trajectories with missing data. It consists of two stages. In the first stage, missing data are...
Carme Julià, Angel Domingo Sappa, Felipe Lu...
MICCAI
2007
Springer
14 years 10 months ago
A New Benchmark for Shape Correspondence Evaluation
This paper introduces a new benchmark study of evaluating landmark-based shape correspondence used for statistical shape analysis. Different from previous shape-correspondence eval...
Brent C. Munsell, Pahal Dalal, Song Wang