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TNN
2008
178views more  TNN 2008»
13 years 6 months ago
IMORL: Incremental Multiple-Object Recognition and Localization
This paper proposes an incremental multiple-object recognition and localization (IMORL) method. The objective of IMORL is to adaptively learn multiple interesting objects in an ima...
Haibo He, Sheng Chen
ER
2005
Springer
200views Database» more  ER 2005»
14 years 16 days ago
How to Tame a Very Large ER Diagram (Using Link Analysis and Force-Directed Drawing Algorithms)
Abstract. Understanding a large schema without the assistance of persons already familiar with it (and its associated applications), is a hard and very time consuming task that occ...
Yannis Tzitzikas, Jean-Luc Hainaut
MICCAI
2010
Springer
13 years 5 months ago
Multi-Class Sparse Bayesian Regression for Neuroimaging Data Analysis
The use of machine learning tools is gaining popularity in neuroimaging, as it provides a sensitive assessment of the information conveyed by brain images. In particular, finding ...
Vincent Michel, Evelyn Eger, Christine Keribin, Be...
ICIP
2004
IEEE
14 years 8 months ago
A motion field reconstruction scheme for smooth boundary video object segmentation
Motion segmentation is a classic and on-going research topic which is an important pre-stage for many video processes. The reliability of the motion field calculation directly dete...
Jean Gao, Ninad Thakoor, Sungyong Jung
COOPIS
2004
IEEE
13 years 10 months ago
Composing Mappings Between Schemas Using a Reference Ontology
Large-scale database integration requires a significant cost in developing a global schema and finding mappings between the global and local schemas. Developing the global schema r...
Eduard C. Dragut, Ramon Lawrence