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ICASSP
2010
IEEE
13 years 6 months ago
Random attributed graphs for statistical inference from content and context
Coping with Information Overload is a major challenge of the 21st century. Huge volumes and varieties of multilingual data must be processed to extract salient information. Previo...
Allen L. Gorin, Carey E. Priebe, John Grothendieck
ICIP
2010
IEEE
13 years 5 months ago
Geometrical features for the classification of very high resolution multispectral remote-sensing images
In order to extract geometrical features from a multispectral image and derive a classification, an approach based on the topographic map of the image is proposed. For each pixel,...
Bin Luo, Jocelyn Chanussot
WWW
2011
ACM
13 years 2 months ago
Learning facial attributes by crowdsourcing in social media
Facial attributes such as gender, race, age, hair style, etc., carry rich information for locating designated persons and profiling the communities from image/video collections (...
Yan-Ying Chen, Winston H. Hsu, Hong-Yuan Mark Liao
CORR
2012
Springer
250views Education» more  CORR 2012»
12 years 3 months ago
Mining Attribute-structure Correlated Patterns in Large Attributed Graphs
In this work, we study the correlation between attribute sets and the occurrence of dense subgraphs in large attributed graphs, a task we call structural correlation pattern minin...
Arlei Silva, Wagner Meira Jr., Mohammed J. Zaki
ICCV
2011
IEEE
12 years 7 months ago
Human Action Recognition by Learning Bases of Action Attributes and Parts
In this work, we propose to use attributes and parts for recognizing human actions in still images. We define action attributes as the verbs that describe the properties of human...
Bangpeng Yao, Xiaoye Jiang, Aditya Khosla, Andy La...