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CIKM
2000
Springer
14 years 1 months ago
A Semi-Supervised Document Clustering Technique for Information Organization
This paper discusses a new type of semi-supervised document clustering that uses partial supervision to partition a large set of documents. Most clustering methods organizes docum...
Han-joon Kim, Sang-goo Lee
TKDE
2002
121views more  TKDE 2002»
13 years 8 months ago
ACIRD: Intelligent Internet Document Organization and Retrieval
This paper presents an intelligent Internet information system, Automatic Classifier for the Internet Resource Discovery (ACIRD), which uses machine learning techniques to organiz...
Shian-Hua Lin, Meng Chang Chen, Jan-Ming Ho, Yueh-...
RAS
2008
149views more  RAS 2008»
13 years 8 months ago
Robot task planning using semantic maps
Task planning for mobile robots usually relies solely on spatial information and on shallow domain knowledge, like labels attached to objects and places. Although spatial informat...
Cipriano Galindo, Juan-Antonio Fernandez-Madrigal,...
ICIP
2005
IEEE
14 years 10 months ago
Similarity-based and perception-based image segmentation
In this paper, we present a segmentation method that provides perceptually relevant partitions without any a priori knowledge of the image content: first a local homogeneity analy...
Jérémy Huart, Pascal Bertolino
KDD
2004
ACM
150views Data Mining» more  KDD 2004»
14 years 9 months ago
A framework for ontology-driven subspace clustering
Traditional clustering is a descriptive task that seeks to identify homogeneous groups of objects based on the values of their attributes. While domain knowledge is always the bes...
Jinze Liu, Wei Wang 0010, Jiong Yang