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ICIC
2005
Springer
14 years 3 months ago
Texture Feature-Based Image Classification Using Wavelet Package Transform
In this paper, a new method based on wavelet package transform is proposed for classification of texture images. It has been demonstrated that a large amount of texture information...
Yue Zhang, Xing-Jian He, Jun-Hua Han
ICML
2000
IEEE
14 years 2 months ago
Using Learning by Discovery to Segment Remotely Sensed Images
In this paper, we describe our research in computer-aided image analysis. We have incorporated machine learning methodologies with traditional image processing to perform unsuperv...
Leen-Kiat Soh, Costas Tsatsoulis
IADIS
2008
13 years 11 months ago
Subspace Orthogonal Projection for Texture Segmentation with Wavelet Frames
We propose a new supervised texture segmentation and classification technique based on combining features extracted from the discrete wavelet frames of an image (specifically, the...
Mahmoud K. Quweider
ACL
2003
13 years 11 months ago
Unsupervised Segmentation of Words Using Prior Distributions of Morph Length and Frequency
We present a language-independent and unsupervised algorithm for the segmentation of words into morphs. The algorithm is based on a new generative probabilistic model, which makes...
Mathias Creutz
CVPR
1999
IEEE
15 years 2 days ago
Histogram Clustering for Unsupervised Image Segmentation
This paper introduces a novel statistical mixture model for probabilistic grouping of distributional histogram data. Adopting the Bayesian framework, we propose to perform anneale...
Jan Puzicha, Joachim M. Buhmann, Thomas Hofmann