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» Learning and using taxonomies for fast visual categorization
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ICCV
2009
IEEE
14 years 7 months ago
Incremental Multiple Kernel Learning for object recognition
A good training dataset, representative of the test images expected in a given application, is critical for ensuring good performance of a visual categorization system. Obtaining ...
Aniruddha Kembhavi, Behjat Siddiquie, Roland Miezi...
ACCV
2009
Springer
15 years 4 months ago
An Online Framework for Learning Novel Concepts over Multiple Cues
Abstract. We propose an online learning algorithm to tackle the problem of learning under limited computational resources in a teacher-student scenario, over multiple visual cues. ...
Luo Jie, Francesco Orabona, Barbara Caputo
KDD
2010
ACM
277views Data Mining» more  KDD 2010»
15 years 1 months ago
Growing a tree in the forest: constructing folksonomies by integrating structured metadata
Many social Web sites allow users to annotate the content with descriptive metadata, such as tags, and more recently to organize content hierarchically. These types of structured ...
Anon Plangprasopchok, Kristina Lerman, Lise Getoor
ISVC
2010
Springer
14 years 7 months ago
Indented Pixel Tree Plots
We introduce Indented Pixel Tree Plots (IPTPs): a novel pixel-based visualization technique for depicting large hierarchies. It is inspired by the visual metaphor of indented outli...
Michael Burch, Michael Raschke, Daniel Weiskopf
WAPCV
2004
Springer
15 years 3 months ago
Towards a Biologically Plausible Active Visual Search Model
Abstract. This paper proposes a neuronal-based solution to active visual search, that is, visual search for a given target in displays that are too large in spatial extent to be in...
Andrei Zaharescu, Albert L. Rothenstein, John K. T...