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PKDD
2005
Springer
123views Data Mining» more  PKDD 2005»
13 years 11 months ago
A Multi-metric Index for Euclidean and Periodic Matching
In many classification and data-mining applications the user does not know a priori which distance measure is the most appropriate for the task at hand without examining the produ...
Michail Vlachos, Zografoula Vagena, Vittorio Caste...
PG
2003
IEEE
13 years 11 months ago
Adaptive Grouping and Subdivision for Simulating Hair Dynamics
We present a novel approach for adaptively grouping and subdividing hair using discrete level-of-detail (LOD) representations. The set of discrete LODs include hair strands, clust...
Kelly Ward, Ming C. Lin
EGH
2010
Springer
13 years 3 months ago
Parallel SAH k-D tree construction
The k-D tree is a well-studied acceleration data structure for ray tracing. It is used to organize primitives in a scene to allow efficient execution of intersection operations be...
Byn Choi, Rakesh Komuravelli, Victor Lu, Hyojin Su...
RECSYS
2010
ACM
13 years 6 months ago
Collaborative filtering via euclidean embedding
Recommendation systems suggest items based on user preferences. Collaborative filtering is a popular approach in which recommending is based on the rating history of the system. O...
Mohammad Khoshneshin, W. Nick Street
DASFAA
2008
IEEE
190views Database» more  DASFAA 2008»
14 years 7 days ago
Analysis of Time Series Using Compact Model-Based Descriptions
Abstract. Recently, we have proposed a novel method for the compression of time series based on mathematical models that explore dependencies between different time series. This r...
Hans-Peter Kriegel, Peer Kröger, Alexey Pryak...