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» Image Based Regression Using Boosting Method
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152
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CSIE
2009
IEEE
15 years 10 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
141
Voted
SSIAI
2000
IEEE
15 years 7 months ago
Towards Knowledge-Based Extraction of Roads from 1m-Resolution Satellite Images
As IKONOS satellite with 1m-resolution camera has been launched in 1999, mapping using space-borne images will be a hot issue in computer vision area as well as photogrammetry, ma...
Hae-Yeoun Lee, Heung-Kyu Lee, Tak-gon Kim, Wonkyu ...
CVPR
2008
IEEE
16 years 5 months ago
Unsupervised estimation of segmentation quality using nonnegative factorization
We propose an unsupervised method for evaluating image segmentation. Common methods are typically based on evaluating smoothness within segments and contrast between them, and the...
Roman Sandler, Michael Lindenbaum
161
Voted
HISB
2011
92views more  HISB 2011»
14 years 3 months ago
Unsupervised Grow-Cut: Cellular Automata-Based Medical Image Segmentation
— This paper presents a new cellular automata-based unsupervised image segmentation technique that is motivated by the interactive grow-cut algorithm. In contrast to the traditio...
Payel Ghosh, Sameer Antani, L. Rodney Long, George...
114
Voted
MVA
1990
139views Computer Vision» more  MVA 1990»
15 years 4 months ago
Generation of 3-D Models Based on Image Fusion of Range Data
This paper presents a method for measuringthe entire three dimensional (3D) shape of object, which is applicable for 3D digitizing into a solid modeling CAD. The method measures t...
Yasuo Sakaguchi, Hirokazu Kato, Kosuke Sato, Seiji...