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» A Semi-Supervised Document Clustering Algorithm Based on EM
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ICDM
2002
IEEE
123views Data Mining» more  ICDM 2002»
15 years 6 months ago
Towards Automatic Generation of Query Taxonomy: A Hierarchical Query Clustering Approach
Previous works on automatic query clustering most generate a flat, un-nested partition of query terms. In this work, we are pursuing to organize query terms into a hierarchical s...
Shui-Lung Chuang, Lee-Feng Chien
ICPR
2004
IEEE
16 years 2 months ago
Serialized Unsupervised Classifier for Adaptative Color Image Segmentation: Application to Digitized Ancient Manuscripts
This paper presents an adaptative algorithm for the segmentation of color images suited for document image analysis. The algorithm is based on a serialization of the k-means algor...
Frank Le Bourgeois, Hubert Emptoz, Yann Leydier
KDD
2005
ACM
177views Data Mining» more  KDD 2005»
15 years 7 months ago
Combining partitions by probabilistic label aggregation
Data clustering represents an important tool in exploratory data analysis. The lack of objective criteria render model selection as well as the identification of robust solutions...
Tilman Lange, Joachim M. Buhmann
CVPR
2011
IEEE
14 years 5 months ago
Registration of Camera Captured Documents Under Non-rigid Deformation
Document registration is a problem where the image of a template document whose layout is known is registered with a test document image. Given the registration parameters, layout...
Venkata Edupuganti, Suryaprakash Kompalli, Vinayak...
SIGIR
2009
ACM
15 years 8 months ago
A comparison of retrieval-based hierarchical clustering approaches to person name disambiguation
This paper describes a simple clustering approach to person name disambiguation of retrieved documents. The methods are based on standard IR concepts and do not require any task-s...
Christof Monz, Wouter Weerkamp