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» Image processing and data analysis: The multiscale approach
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TIP
1998
134views more  TIP 1998»
15 years 6 months ago
Region growing: a new approach
Accurate segmentation of images is one of the most important objectives in image analysis. The two conventional methods of image segmentation, region based segmentation and bounda...
S. A. Hojjatoleslami, Josef Kittler
BMVC
2010
15 years 4 months ago
Local Gaussian Processes for Pose Recognition from Noisy Inputs
Gaussian processes have been widely used as a method for inferring the pose of articulated bodies directly from image data. While able to model complex non-linear functions, they ...
Martin Fergie, Aphrodite Galata
DAGM
2004
Springer
15 years 11 months ago
Features for Image Retrieval: A Quantitative Comparison
Abstract. In this paper, different well-known features for image retrieval are quantitatively compared and their correlation is analyzed. We compare the features for two differen...
Thomas Deselaers, Daniel Keysers, Hermann Ney
VLDB
2004
ACM
178views Database» more  VLDB 2004»
15 years 11 months ago
High-Dimensional OLAP: A Minimal Cubing Approach
Data cube has been playing an essential role in fast OLAP (online analytical processing) in many multi-dimensional data warehouses. However, there exist data sets in applications ...
Xiaolei Li, Jiawei Han, Hector Gonzalez
SDM
2007
SIAM
201views Data Mining» more  SDM 2007»
15 years 7 months ago
Fast Best-Match Shape Searching in Rotation Invariant Metric Spaces
Object recognition and content-based image retrieval systems rely heavily on the accurate and efficient identification of shapes. A fundamental requirement in the shape analysis ...
Dragomir Yankov, Eamonn J. Keogh, Li Wei, Xiaopeng...