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BIRD
2008
Springer
131views Bioinformatics» more  BIRD 2008»
13 years 11 months ago
Identifying Subcellular Locations from Images of Unknown Resolution
Our group has previously used machine learning techniques to develop computational systems to automatically analyse fluorescence microscope images and classify the location of the ...
Luís Pedro Coelho, Robert F. Murphy
CVPR
2009
IEEE
15 years 4 months ago
Learning a Distance Metric from Multi-instance Multi-label Data
Multi-instance multi-label learning (MIML) refers to the learning problems where each example is represented by a bag/collection of instances and is labeled by multiple labels. ...
Rong Jin (Michigan State University), Shijun Wang...
ICMCS
2005
IEEE
110views Multimedia» more  ICMCS 2005»
14 years 2 months ago
Learned color constancy from local correspondences
The ability of humans for color constancy, i.e. the ability to correct for color deviation caused by a different illumination, is far beyond computer vision performances: nowadays...
Tijmen Moerland, Frédéric Jurie
ICCV
1999
IEEE
14 years 11 months ago
Finding People by Sampling
We show how to use a sampling method to find sparsely clad people in static images. People are modeled as an assembly of nine cylindrical segments. Segments are found using an EM ...
Sergey Ioffe, David A. Forsyth
VMV
2008
117views Visualization» more  VMV 2008»
13 years 10 months ago
High-speed Motion Analysis with Multi-Exposure Images
We propose a method to estimate dense motion vector fields from multi-exposure images. Our approach relies on finding a sparse set of correspondences between features in a single-...
Christian Linz, Timo Stich, Marcus A. Magnor