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JMLR
2010
111views more  JMLR 2010»
14 years 4 months ago
Single versus Multiple Sorting in All Pairs Similarity Search
To save memory and improve speed, vectorial data such as images and signals are often represented as strings of discrete symbols (i.e., sketches). Chariker (2002) proposed a fast ...
Yasuo Tabei, Takeaki Uno, Masashi Sugiyama, Koji T...
KDD
1999
ACM
117views Data Mining» more  KDD 1999»
15 years 1 months ago
Identifying Distinctive Subsequences in Multivariate Time Series by Clustering
Most time series comparison algorithms attempt to discover what the members of a set of time series have in common. We investigate a di erent problem, determining what distinguish...
Tim Oates
80
Voted
CG
2008
Springer
14 years 11 months ago
Whole-History Rating: A Bayesian Rating System for Players of Time-Varying Strength
Whole-History Rating (WHR) is a new method to estimate the time-varying strengths of players involved in paired comparisons. Like many variations of the Elo rating system, the whol...
Rémi Coulom
ICPR
2006
IEEE
15 years 10 months ago
Dissimilarity-based classification for vectorial representations
General dissimilarity-based learning approaches have been proposed for dissimilarity data sets [11, 10]. They arise in problems in which direct comparisons of objects are made, e....
Elzbieta Pekalska, Robert P. W. Duin
VLDB
2005
ACM
120views Database» more  VLDB 2005»
15 years 3 months ago
Efficiently Processing Queries on Interval-and-Value Tuples in Relational Databases
With the increasing occurrence of temporal and spatial data in present-day database applications, the interval data type is adopted by more and more database systems. For an effic...
Jost Enderle, Nicole Schneider, Thomas Seidl