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ICCV
2011
IEEE
14 years 6 months ago
Domain Adaptation for Object Recognition: An Unsupervised Approach
Adapting the classifier trained on a source domain to recognize instances from a new target domain is an important problem that is receiving recent attention. In this paper, we p...
Raghuraman Gopalan, Ruonan Li, Rama Chellappa
ICCV
2011
IEEE
14 years 6 months ago
Predicting Occupation via Human Clothing and Contexts
Predicting human occupations in photos has great application potentials in intelligent services and systems. However, using traditional classification methods cannot reliably dis...
Zheng Song, Meng Wang, Xian-Sheng Hua, Shuicheng Y...
ICCV
2011
IEEE
14 years 6 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
AAAI
2011
14 years 6 months ago
Heterogeneous Transfer Learning with RBMs
A common approach in machine learning is to use a large amount of labeled data to train a model. Usually this model can then only be used to classify data in the same feature spac...
Bin Wei, Christopher Pal
ATAL
2011
Springer
14 years 6 months ago
Specifying and applying commitment-based business patterns
Recent work in communications and business modeling emphasizes a commitment-based view of interaction. By abstracting away from implementation-level details, commitments can poten...
Amit K. Chopra, Munindar P. Singh
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