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» Improving Bag-of-Features for Large Scale Image Search
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EDBT
2010
ACM
135views Database» more  EDBT 2010»
14 years 7 months ago
Querying spatial patterns
Spatial data are common in many scientific and commercial domains such as geographical information systems and gene/protein expression profiles. Querying for distribution patterns...
Vishwakarma Singh, Arnab Bhattacharya, Ambuj K. Si...
93
Voted
IPMI
2009
Springer
15 years 10 months ago
Marginal Space Learning for Efficient Detection of 2D/3D Anatomical Structures in Medical Images
Recently, marginal space learning (MSL) was proposed as a generic approach for automatic detection of 3D anatomical structures in many medical imaging modalities [1]. To accurately...
Yefeng Zheng, Bogdan Georgescu, Dorin Comaniciu
CVPR
2011
IEEE
14 years 5 months ago
Large-Scale Live Active Learning: Training Object Detectors with Crawled Data and Crowds
Active learning and crowdsourcing are promising ways to efficiently build up training sets for object recognition, but thus far techniques are tested in artificially controlled ...
Sudheendra Vijayanarasimhan, Kristen Grauman

Publication
659views
14 years 5 months ago
A Large-Scale Hierarchical Multi-View RGB-D Object Dataset
Over the last decade, the availability of public image repositories and recognition benchmarks has enabled rapid progress in visual object category and instance detection. Today we...
Kevin Lai, Liefeng Bo, Xiaofeng Ren and Dieter Fox
87
Voted
SP
2010
IEEE
192views Security Privacy» more  SP 2010»
15 years 1 months ago
How Good Are Humans at Solving CAPTCHAs? A Large Scale Evaluation
—Captchas are designed to be easy for humans but hard for machines. However, most recent research has focused only on making them hard for machines. In this paper, we present wha...
Elie Bursztein, Steven Bethard, Celine Fabry, John...