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» Unsupervised discovery of visual object class hierarchies
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IEAAIE
2005
Springer
14 years 29 days ago
Analyzing Multi-level Spatial Association Rules Through a Graph-Based Visualization
Association rules discovery is a fundamental task in spatial data mining where data are naturally described at multiple levels of granularity. ARES is a spatial data mining system ...
Annalisa Appice, Paolo Buono
ICCV
2007
IEEE
14 years 9 months ago
Hierarchical Semantics of Objects (hSOs)
A successful representation of objects in the literature is as a collection of patches, or parts, with a certain appearance and position. The relative locations of the different p...
Devi Parikh, Tsuhan Chen
GRAPHITE
2007
ACM
13 years 11 months ago
A shape hierarchy for 3D modelling from video
This paper describes an interactive method for generating a model of a scene from image data. The method uses the camera parameters and point cloud typically generated by structur...
Anton van den Hengel, Anthony R. Dick, Thorsten Th...
CVIU
2008
296views more  CVIU 2008»
13 years 7 months ago
Image segmentation evaluation: A survey of unsupervised methods
Image segmentation is an important processing step in many image, video and computer vision applications. Extensive research has been done in creating many different approaches an...
Hui Zhang, Jason E. Fritts, Sally A. Goldman
CVPR
2010
IEEE
14 years 3 months ago
Robust Classification of Objects, Faces, and Flowers Using Natural Image Statistics
Classification of images in many category datasets has rapidly improved in recent years. However, systems that perform well on particular datasets typically have one or more lim...
Christopher Kanan, Garrison Cottrell