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136
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KDD
2010
ACM
272views Data Mining» more  KDD 2010»
15 years 6 days ago
Scalable similarity search with optimized kernel hashing
Scalable similarity search is the core of many large scale learning or data mining applications. Recently, many research results demonstrate that one promising approach is creatin...
Junfeng He, Wei Liu, Shih-Fu Chang
210
Voted
SIGMOD
2006
ACM
127views Database» more  SIGMOD 2006»
16 years 1 months ago
Efficient reverse k-nearest neighbor search in arbitrary metric spaces
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, is a generalization of the...
Elke Achtert, Christian Böhm, Peer Kröge...
CIVR
2007
Springer
102views Image Analysis» more  CIVR 2007»
15 years 8 months ago
Visual information retrieval using synthesized imagery
In this project (VIRSI) we investigate the promising contentbased retrieval paradigm known as interactive search or relevance feedback, and aim to extend it through the use of syn...
Bart Thomee, Mark J. Huiskes, Erwin M. Bakker, Mic...
CIKM
2010
Springer
15 years 11 days ago
Online learning for recency search ranking using real-time user feedback
Traditional machine-learned ranking algorithms for web search are trained in batch mode, which assume static relevance of documents for a given query. Although such a batch-learni...
Taesup Moon, Lihong Li, Wei Chu, Ciya Liao, Zhaohu...
IJCAI
1989
15 years 2 months ago
The Reason for the Benefits of Minimax Search
based on an abstract concept of quiescence. In the following we sketch this and a related model, describe the design of our experiments, and present the results of our simulation s...
Anton Scheucher, Hermann Kaindl