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ICPR
2010
IEEE
15 years 9 months ago
Pattern Recognition Using Functions of Multiple Instances
The Functions of Multiple Instances (FUMI) method for learning a target prototype from data points that are functions of target and non-target prototypes is introduced. In this pa...
Alina Zare, Paul Gader
NIPS
2008
15 years 8 months ago
Multi-Level Active Prediction of Useful Image Annotations for Recognition
We introduce a framework for actively learning visual categories from a mixture of weakly and strongly labeled image examples. We propose to allow the categorylearner to strategic...
Sudheendra Vijayanarasimhan, Kristen Grauman
ANLP
1994
134views more  ANLP 1994»
15 years 7 months ago
Degraded Text Recognition Using Word Collocation and Visual Inter-Word Constraints
Given a noisy text page, a word recognizer can generate a set of candidates for each word image. A relaxation algorithm was proposed previously by the authors that uses word collo...
Tao Hong, Jonathan J. Hull
MVA
1990
131views Computer Vision» more  MVA 1990»
15 years 7 months ago
Recognition and Relocation of 3-Dimensional Objects Using Stereo Robot Vision System
An important task in sterco robot vision is to determine the three-dimcnsional locations of objects. The real location of an object is determined from the disparity of matched pin...
Kyoung Mihn Do, Chee-Woo Kang, Kwae-Hi Lee
BMVC
2010
15 years 4 months ago
Robust Texture Recognition Using Credal Classifiers
Texture classification is used for many vision systems; in this paper we focus on improving the reliability of the classification through the so-called imprecise (or credal) class...
Giorgio Corani, Alessandro Giusti, Davide Migliore...