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» A Computational Model for Metric Spaces
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KDD
2006
ACM
142views Data Mining» more  KDD 2006»
14 years 8 months ago
Mining distance-based outliers from large databases in any metric space
Let R be a set of objects. An object o R is an outlier, if there exist less than k objects in R whose distances to o are at most r. The values of k, r, and the distance metric ar...
Yufei Tao, Xiaokui Xiao, Shuigeng Zhou
ECAI
2008
Springer
13 years 9 months ago
Author Identification Using a Tensor Space Representation
Author identification is a text categorization task with applications in intelligence, criminal law, computer forensics, etc. Usually, in such cases there is shortage of training t...
Spyridon Plakias, Efstathios Stamatatos
POPL
2012
ACM
12 years 3 months ago
Higher-order functional reactive programming in bounded space
Functional reactive programming (FRP) is an elegant and successful approach to programming reactive systems declaratively. The high levels of abstraction and expressivity that mak...
Neelakantan R. Krishnaswami, Nick Benton, Jan Hoff...
ICASSP
2011
IEEE
12 years 11 months ago
A metric approach toward point process divergence
Estimating divergence between two point processes, i.e. probability laws on the space of spike trains, is an essential tool in many computational neuroscience applications, such a...
Sohan Seth, Austin J. Brockmeier, José Carl...
ACCV
2009
Springer
14 years 2 months ago
Lorentzian Discriminant Projection and Its Applications
This paper develops a supervised dimensionality reduction method, Lorentzian Discriminant Projection (LDP), for discriminant analysis and classification. Our method represents the...
Risheng Liu, Zhixun Su, Zhouchen Lin, Xiaoyu Hou