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CSIE
2009
IEEE
14 years 2 months ago
Evaluating Clustering Algorithms: Cluster Quality and Feature Selection in Content-Based Image Clustering
The paper presents an evaluation of four clustering algorithms: k-means, average linkage, complete linkage, and Ward’s method, with the latter three being different hierarchical...
Mesfin Sileshi, Björn Gambäck
ICPR
2008
IEEE
14 years 8 months ago
Visual features with semantic combination using Bayesian network for a more effective image retrieval
In many vision problems, instead of having fully annotated training data, it is easier to obtain just a subset of data with annotations, because it is less restrictive for the use...
Sabine Barrat, Salvatore Tabbone
CLEF
2010
Springer
13 years 8 months ago
ImageCLEF 2010 Modality Classification in Medical Image Retrieval: Multiple Feature Fusion with Normalized Kernel Function
Abstract. In this paper, we describe an approach for the automatic modality classification in medical image retrieval task of the 2010 CLEF cross-language image retrieval campaign ...
Xian-Hua Hanand Yen-Wei Chen
SMI
2008
IEEE
126views Image Analysis» more  SMI 2008»
14 years 2 months ago
SHREC'08 entry: Semi-supervised learning for semantic 3D model retrieval
A shape feature by itself is not sufficient for effective 3D model retrieval. Long-lasting semantics shared by a community as well as a short-lived intention of a user determines ...
Akihiro Yamamoto, Masaki Tezuka, Toshiya Shimizu, ...
PAKDD
2009
ACM
263views Data Mining» more  PAKDD 2009»
14 years 2 months ago
Spatial Weighting for Bag-of-Visual-Words and Its Application in Content-Based Image Retrieval
It is a challenging and important task to retrieve images from a large and highly varied image data set based on their visual contents. Problems like how to fill the semantic gap b...
Xin Chen, Xiaohua Hu, Xiajiong Shen