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AUSAI
2010
Springer
14 years 7 months ago
A Heuristic on Effective and Efficient Clustering on Uncertain Objects
We study the problem of clustering uncertain objects whose locations are uncertain and described by probability density functions. We analyze existing pruning algorithms and experi...
Edward Hung, Lei Xu, Chi-Cheong Szeto
ECCC
2011
234views ECommerce» more  ECCC 2011»
14 years 5 months ago
On the complexity of computational problems regarding distributions (a survey)
We consider two basic computational problems regarding discrete probability distributions: (1) approximating the statistical difference (aka variation distance) between two given d...
Oded Goldreich, Salil P. Vadhan
SIAMCOMP
2010
94views more  SIAMCOMP 2010»
14 years 8 months ago
Local Monotonicity Reconstruction
We propose a general model of local property reconstruction. Suppose we have a function f on domain Γ, which is supposed to have a particular property P, but may not have the pro...
Michael E. Saks, C. Seshadhri
STOC
2003
ACM
141views Algorithms» more  STOC 2003»
15 years 10 months ago
Better streaming algorithms for clustering problems
We study clustering problems in the streaming model, where the goal is to cluster a set of points by making one pass (or a few passes) over the data using a small amount of storag...
Moses Charikar, Liadan O'Callaghan, Rina Panigrahy
161
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SIGMOD
2006
ACM
125views Database» more  SIGMOD 2006»
15 years 10 months ago
A non-linear dimensionality-reduction technique for fast similarity search in large databases
To enable efficient similarity search in large databases, many indexing techniques use a linear transformation scheme to reduce dimensions and allow fast approximation. In this re...
Khanh Vu, Kien A. Hua, Hao Cheng, Sheau-Dong Lang