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» Scalable complex pattern search in sequential data
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CIKM
2009
Springer
14 years 3 months ago
Agglomerating local patterns hierarchically with ALPHA
To increase the relevancy of local patterns discovered from noisy relations, it makes sense to formalize error-tolerance. Our starting point is to address the limitations of state...
Loïc Cerf, Pierre-Nicolas Mougel, Jean-Fran&c...
ICVS
2009
Springer
14 years 3 months ago
GPU-Accelerated Nearest Neighbor Search for 3D Registration
Abstract. Nearest Neighbor Search (NNS) is employed by many computer vision algorithms. The computational complexity is large and constitutes a challenge for real-time capability. ...
Deyuan Qiu, Stefan May, Andreas Nüchter
ICCS
2007
Springer
14 years 3 months ago
Searching and Updating Metric Space Databases Using the Parallel EGNAT
Abstract. The Evolutionary Geometric Near-neighbor Access Tree (EGNAT) is a recently proposed data structure that is suitable for indexing large collections of complex objects. It ...
Mauricio Marín, Roberto Uribe, Ricardo J. B...
IPPS
2007
IEEE
14 years 3 months ago
A Landmark-based Index Architecture for General Similarity Search in Peer-to-Peer Networks
The indexing of complex data and similarity search plays an important role in many application areas. Traditional centralized index structure can not scale with the rapid prolifer...
Xiaoyu Yang, Yiming Hu
AUSDM
2007
Springer
193views Data Mining» more  AUSDM 2007»
14 years 3 months ago
Are Zero-suppressed Binary Decision Diagrams Good for Mining Frequent Patterns in High Dimensional Datasets?
Mining frequent patterns such as frequent itemsets is a core operation in many important data mining tasks, such as in association rule mining. Mining frequent itemsets in high-di...
Elsa Loekito, James Bailey