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ICIP
2006
IEEE
15 years 11 months ago
Robust Object Detection using Fast Feature Selection from Huge Feature Sets
This paper describes an efficient feature selection method that quickly selects a small subset out of a given huge feature set; for building robust object detection systems. In th...
Duy-Dinh Le, Shin'ichi Satoh
CSIE
2009
IEEE
15 years 4 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
ICIP
2001
IEEE
15 years 11 months ago
Capturing image semantics with low-level descriptors
: We conducted psychophysical experiments to gain insight into the semantic categories that guide the human perception of image similarity. We analyzed the perceptual data using mu...
Aleksandra Mojsilovic, Bernice E. Rogowitz
PRL
2007
155views more  PRL 2007»
14 years 9 months ago
Integrated patch model: A generative model for image categorization based on feature selection
Image categorization could be treated as an effective solution to enable keyword-based image retrieval. In this paper, we propose a novel image categorization approach by learnin...
Feng Xu, Yu-Jin Zhang
JSW
2008
106views more  JSW 2008»
14 years 9 months ago
Hierarchical Image Segmentation by Structural Content
Image quality loss resulting from artifacts depends on the nature and strength of the artifacts as well as the context or background in which they occur. In order to include the im...
Nathir A. Rawashdeh, Shaun T. Love, Kevin D. Donoh...