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» Constructing Visual Models with a Latent Space Approach
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144
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TMM
2010
135views Management» more  TMM 2010»
14 years 10 months ago
Image Classification With Kernelized Spatial-Context
Abstract--The goal of image classification is to classify a collection of unlabeled images into a set of semantic classes. Many methods have been proposed to approach this goal by ...
Guo-Jun Qi, Xian-Sheng Hua, Yong Rui, Jinhui Tang,...
128
Voted
VISUAL
2000
Springer
15 years 7 months ago
Statistical Motion-Based Retrieval with Partial Query
We present an original approach for motion-based retrieval involving partial query. More precisely, we propose an uni ed statistical framework both to extract entities of interest ...
Ronan Fablet, Patrick Bouthemy
146
Voted
ICCV
2011
IEEE
14 years 3 months ago
Relative Attributes
Human-nameable visual “attributes” can benefit various recognition tasks. However, existing techniques restrict these properties to categorical labels (for example, a person ...
Devi Parikh, Kristen Grauman
DSRT
2003
IEEE
15 years 9 months ago
Real Time Inspection of Hidden Worlds
“Smart Things” are commonly understood as wireless ad-hoc networked, mobile, autonomous, special purpose computing appliances, usually interacting with their environment impli...
Alois Ferscha, Markus Keller
126
Voted
ECCV
2010
Springer
15 years 5 months ago
A coarse-to-fine taxonomy of constellations for fast multi-class object detection
In order for recognition systems to scale to a larger number of object categories building visual class taxonomies is important to achieve running times logarithmic in the number o...