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CP
2006
Springer
13 years 11 months ago
Performance Prediction and Automated Tuning of Randomized and Parametric Algorithms
Abstract. Machine learning can be utilized to build models that predict the runtime of search algorithms for hard combinatorial problems. Such empirical hardness models have previo...
Frank Hutter, Youssef Hamadi, Holger H. Hoos, Kevi...
EDBT
2009
ACM
184views Database» more  EDBT 2009»
14 years 2 months ago
Distributed similarity search in high dimensions using locality sensitive hashing
In this paper we consider distributed K-Nearest Neighbor (KNN) search and range query processing in high dimensional data. Our approach is based on Locality Sensitive Hashing (LSH...
Parisa Haghani, Sebastian Michel, Karl Aberer
GIS
2009
ACM
14 years 8 months ago
A Case Study of Using Geographic Cues to Predict Query News Intent
Geographic information retrieval encompasses important tasks including finding the location of a user, and locations relevant to their search queries. Web-based search engines rec...
Ahmed Hassan, Rosie Jones, Fernando Diaz
IJACTAICIT
2010
120views more  IJACTAICIT 2010»
13 years 4 months ago
Representing Image Search Performance Using Time Series Models
Image search engines tend to return a large number of images which the engines consider to be relevant, and such pool of results generally is very large and may be regarded to be ...
Xiaoling Wang, Clement. H. C. Leung
MOBISYS
2010
ACM
13 years 9 months ago
CrowdSearch: exploiting crowds for accurate real-time image search on mobile phones
Mobile phones are becoming increasingly sophisticated with a rich set of on-board sensors and ubiquitous wireless connectivity. However, the ability to fully exploit the sensing c...
Tingxin Yan, Vikas Kumar, Deepak Ganesan