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CVPR
2009
IEEE
16 years 5 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...
MCAM
2007
Springer
129views Multimedia» more  MCAM 2007»
15 years 4 months ago
Learning Concepts by Modeling Relationships
Supporting multimedia search has emerged as an important research topic. There are three paradigms on the research spectrum that ranges from the least automatic to the most automat...
Yong Rui, Guo-Jun Qi
ECCV
2008
Springer
15 years 11 months ago
GeoS: Geodesic Image Segmentation
This paper presents GeoS, a new algorithm for the efficient segmentation of n-dimensional image and video data. The segmentation problem is cast as approximate energy minimization ...
Antonio Criminisi, Toby Sharp, Andrew Blake
ICCV
2009
IEEE
14 years 7 months ago
Image annotation using multi-label correlated Green's function
Image annotation has been an active research topic in the recent years due to its potentially large impact on both image understanding and web/database image search. In this paper...
Hua Wang, Heng Huang, Chris H. Q. Ding
ICML
2006
IEEE
15 years 10 months ago
Efficient MAP approximation for dense energy functions
We present an efficient method for maximizing energy functions with first and second order potentials, suitable for MAP labeling estimation problems that arise in undirected graph...
Marius Leordeanu, Martial Hebert