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» Graph-Theoretic Approach to Clustering and Segmentation
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ICCV
2007
IEEE
14 years 9 months ago
Non-Parametric Probabilistic Image Segmentation
We propose a simple probabilistic generative model for image segmentation. Like other probabilistic algorithms (such as EM on a Mixture of Gaussians) the proposed model is princip...
Marco Andreetto, Lihi Zelnik-Manor, Pietro Perona
PAMI
2007
202views more  PAMI 2007»
13 years 7 months ago
Weighted Graph Cuts without Eigenvectors A Multilevel Approach
—A variety of clustering algorithms have recently been proposed to handle data that is not linearly separable; spectral clustering and kernel k-means are two of the main methods....
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
ICASSP
2011
IEEE
12 years 11 months ago
An adaptive bayesian clustering and multivariate region merging based technique for efficient segmentation of color images
We propose a methodology for improved segmentation of images in a Bayesian framework by fusion of color, texture and gradient information. The proposed algorithm is initialized by...
Sreenath Rao Vantaram, Eli Saber
ICDAR
2005
IEEE
14 years 1 months ago
Camera-based Degraded Character Segmentation into Individual Components
In this article we present a novel fully automatic character segmentation for camera-based images. This is a top-down approach inspired by the human visual system: the high level ...
Céline Mancas-Thillou, Matei Mancas, Bernar...
ICDM
2007
IEEE
136views Data Mining» more  ICDM 2007»
14 years 2 months ago
Dynamic Micro Targeting: Fitness-Based Approach to Predicting Individual Preferences
It is crucial to segment customers intelligently in order to offer more targeted and personalized products and services. Traditionally, customer segmentation is achieved using sta...
Tianyi Jiang, Alexander Tuzhilin