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» Learning from Highly Structured Data by Decomposition
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CVPR
2012
IEEE
13 years 5 days 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
MCS
2007
Springer
15 years 3 months ago
Selecting Diversifying Heuristics for Cluster Ensembles
Abstract. Cluster ensembles are deemed to be better than single clustering algorithms for discovering complex or noisy structures in data. Various heuristics for constructing such ...
Stefan Todorov Hadjitodorov, Ludmila I. Kuncheva
BTW
2007
Springer
183views Database» more  BTW 2007»
15 years 1 months ago
Efficient Reverse k-Nearest Neighbor Estimation
: The reverse k-nearest neighbor (RkNN) problem, i.e. finding all objects in a data set the k-nearest neighbors of which include a specified query object, has received increasing a...
Elke Achtert, Christian Böhm, Peer Kröge...
CG
2004
Springer
14 years 9 months ago
Multi-channel publishing of interactive multimedia presentations
The ongoing convergence between TV and the Internet leads traditional broadcast companies to publish their content on the Internet. Interactive digital TV platforms, which support...
Steven Van Assche, Filip Hendrickx, Nico Oorts, Lo...
IUI
2010
ACM
15 years 6 months ago
The why UI: using goal networks to improve user interfaces
People interact with interfaces to accomplish goals, and knowledge about human goals can be useful for building intelligent user interfaces. We suggest that modeling high, human-l...
Dustin Arthur Smith, Henry Lieberman