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» Efficient algorithms for ranking with SVMs
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CVPR
2006
IEEE
14 years 9 months ago
Unsupervised Learning of Categories from Sets of Partially Matching Image Features
We present a method to automatically learn object categories from unlabeled images. Each image is represented by an unordered set of local features, and all sets are embedded into...
Kristen Grauman, Trevor Darrell
ICB
2009
Springer
226views Biometrics» more  ICB 2009»
14 years 1 months ago
Accurate Palmprint Recognition Using Spatial Bags of Local Layered Descriptors
Abstract. State-of-the-art palmprint recognition algorithms achieve high accuracy based on component based texture analysis. However, they are still sensitive to local variations o...
Yufei Han, Tieniu Tan, Zhenan Sun
PVLDB
2010
139views more  PVLDB 2010»
13 years 2 months ago
Identifying the Most Influential Data Objects with Reverse Top-k Queries
Top-k queries are widely applied for retrieving a ranked set of the k most interesting objects based on the individual user preferences. As an example, in online marketplaces, cus...
Akrivi Vlachou, Christos Doulkeridis, Kjetil N&osl...
WWW
2003
ACM
14 years 8 months ago
Scaling personalized web search
Recent web search techniques augment traditional text matching with a global notion of "importance" based on the linkage structure of the web, such as in Google's P...
Glen Jeh, Jennifer Widom
EDBT
2002
ACM
129views Database» more  EDBT 2002»
14 years 7 months ago
Schema-Driven Evaluation of Approximate Tree-Pattern Queries
Abstract. We present a simple query language for XML, which supports hierarchical, Boolean-connected query patterns. The interpretation of a query is founded on cost-based query tr...
Torsten Schlieder