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» Automatically labeling hierarchical clusters
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SSPR
2004
Springer
14 years 27 days ago
Clustering Variable Length Sequences by Eigenvector Decomposition Using HMM
We present a novel clustering method using HMM parameter space and eigenvector decomposition. Unlike the existing methods, our algorithm can cluster both constant and variable leng...
Fatih Murat Porikli
DAS
2008
Springer
13 years 9 months ago
A Comparison of Clustering Methods for Word Image Indexing
In this paper we explore the effectiveness of three clustering methods used to perform word image indexing. The three methods are: the Self-Organazing Map (SOM), the Growing Hiera...
Simone Marinai, Emanuele Marino, Giovanni Soda
WSE
2003
IEEE
14 years 24 days ago
Using Keyword Extraction for Web Site Clustering
Reverse engineering techniques have the potential to support Web site understanding, by providing views that show the organization of a site and its navigational structure. Howeve...
Paolo Tonella, Filippo Ricca, Emanuele Pianta, Chr...
ICDAR
2009
IEEE
13 years 5 months ago
Analysis of Book Documents' Table of Content Based on Clustering
Table of contents (TOC) recognition has attracted a great deal of attention in recent years. After reviewing the merits and drawbacks of the existing TOC recognition methods, we h...
Liangcai Gao, Zhi Tang, Xiaofan Lin, Xin Tao, Yimi...
CVPR
2010
IEEE
13 years 6 months ago
Nonparametric Label-to-Region by Search
In this work, we investigate how to propagate annotated labels for a given single image from the image-level to their corresponding semantic regions, namely Label-toRegion (L2R), ...
Xiaobai Liu, Shuicheng Yan, Jiebo Luo