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» Adapting Visual Category Models to New Domains
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CVPR
2011
IEEE
13 years 1 months ago
Learning the Easy Things First: Self-Paced Visual Category Discovery
Objects vary in their visual complexity, yet existing discovery methods perform “batch” clustering, paying equal attention to all instances simultaneously—regardless of the ...
Yong Jae Lee, Kristen Grauman
DAGM
2006
Springer
13 years 9 months ago
Towards Unsupervised Discovery of Visual Categories
Recently, many approaches have been proposed for visual object category detection. They vary greatly in terms of how much supervision is needed. High performance object detection m...
Mario Fritz, Bernt Schiele
CVPR
2012
IEEE
11 years 8 months ago
Geodesic flow kernel for unsupervised domain adaptation
In real-world applications of visual recognition, many factors—such as pose, illumination, or image quality—can cause a significant mismatch between the source domain on whic...
Boqing Gong, Yuan Shi, Fei Sha, Kristen Grauman
ITICSE
2006
ACM
13 years 11 months ago
WADEIn II: a case for adaptive explanatory visualization
Adaptive explanatory visualization is an attempt to integrate two promising approaches to program visualization: adaptive visualization and explanatory visualization. The goal of ...
Peter Brusilovsky, Tomasz D. Loboda
VISUALIZATION
1999
IEEE
13 years 10 months ago
Visualizing the Evolution of a Subject Domain: A Case Study
We explore the potential of information visualization techniques in enhancing existing methodologies for domain analysis and modeling. In this case study, we particularly focus on...
Chaomei Chen, Les Carr