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» Learning Visual Invariance
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IEEEVAST
2010
13 years 3 months ago
Anomaly detection in GPS data based on visual analytics
Modern machine learning techniques provide robust approaches for data-driven modeling and critical information extraction, while human experts hold the advantage of possessing hig...
Zicheng Liao, Yizhou Yu, Baoquan Chen
ICCV
2011
IEEE
12 years 8 months ago
Annotator Rationales for Visual Recognition
Traditional supervised visual learning simply asks annotators “what” label an image should have. We propose an approach for image classification problems requiring subjective...
Jeff Donahue, Kristen Grauman
DAGSTUHL
2006
13 years 9 months ago
A System for Object Class Detection
A successful detection and classification system must have two properties: it should be general enough to compensate for intra-class variability and it should be specific enough to...
Daniela Hall
MICCAI
2010
Springer
13 years 6 months ago
Fast Automatic Detection of Calcified Coronary Lesions in 3D Cardiac CT Images
Abstract. Even with the recent advances in multidetector computed tomography (MDCT) imaging techniques, detection of calcified coronary lesions remains a highly tedious task. Noise...
Sushil Mittal, Yefeng Zheng, Bogdan Georgescu, Fer...
AAAI
2007
13 years 10 months ago
A Robot That Uses Existing Vocabulary to Infer Non-Visual Word Meanings from Observation
The authors present TWIG, a visually grounded wordlearning system that uses its existing knowledge of vocabulary, grammar, and action schemas to help it learn the meanings of new ...
Kevin Gold, Brian Scassellati