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» Learning with Local Drift Detection
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ECCV
2010
Springer
15 years 3 months ago
Discovering Multipart Appearance Models from Captioned Images
Abstract. Even a relatively unstructured captioned image set depicting a variety of objects in cluttered scenes contains strong correlations between caption words and repeated visu...
ICPR
2006
IEEE
16 years 24 days ago
Latent Layout Analysis for Discovering Objects in Images
Latent Layout Analysis (LLA) is a novel unsupervised learning technique to discover objects in unseen images using a set of un-annotated training images. LLA defines a generative ...
David Liu, Datong Chen, Tsuhan Chen
ICIP
2009
IEEE
14 years 9 months ago
Subsampling strategies to improve learning-based retina vessel segmentation
The proper segmentation of the vascular system of the retina has a very important role in automatic screening systems. Its detection helps the localization of other anatomical par...
Roland Harangozo, Peter Veres, Andras Hajdu
87
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BMVC
2010
14 years 9 months ago
High Five: Recognising human interactions in TV shows
In this paper we address the problem of recognising interactions between two people in realistic scenarios for video retrieval purposes. We develop a per-person descriptor that us...
Alonso Patron, Marcin Marszalek, Andrew Zisserman,...
CVPR
2007
IEEE
16 years 1 months ago
Composite Models of Objects and Scenes for Category Recognition
This paper presents a method of learning and recognizing generic object categories using part-based spatial models. The models are multiscale, with a scene component that specifie...
David J. Crandall, Daniel P. Huttenlocher