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» A Statistical Learning Approach To Document Image Analysis
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122
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MLDM
2005
Springer
15 years 9 months ago
Unsupervised Learning of Visual Feature Hierarchies
We propose an unsupervised, probabilistic method for learning visual feature hierarchies. Starting from local, low-level features computed at interest point locations, the method c...
Fabien Scalzo, Justus H. Piater
149
Voted
FGR
2008
IEEE
152views Biometrics» more  FGR 2008»
15 years 10 months ago
Facial feature detection with optimal pixel reduction SVM
Automatic facial feature localization has been a longstanding challenge in the field of computer vision for several decades. This can be explained by the large variation a face i...
Minh Hoai Nguyen, Joan Perez, Fernando De la Torre
IGARSS
2009
15 years 1 months ago
Active Learning of Hyperspectral Data with Spatially Dependent Label Acquisition Costs
Supervised learners can be used to automatically classify many types of spatially distributed data. For example, land cover classification by hyperspectral image data analysis is ...
Alexander Liu, Goo Jun, Joydeep Ghosh
ER
2004
Springer
106views Database» more  ER 2004»
15 years 8 months ago
Use of Tabular Analysis Method to Construct UML Sequence Diagrams
A sequence diagram in UML is used to model interactions among objects that participate in a use case. Developing a sequence diagram is complex; our experience shows that novice dev...
Margaret Hilsbos, Il-Yeol Song
AOSD
2009
ACM
15 years 1 months ago
Concept analysis for product line requirements
Traditional methods characterize a software product line's requirements using either functional or quality criteria. This appears to be inadequate to assess modularity, detec...
Nan Niu, Steve M. Easterbrook