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SSDBM
2007
IEEE
127views Database» more  SSDBM 2007»
14 years 4 months ago
A Fast Algorithm for Approximate Quantiles in High Speed Data Streams
We present a fast algorithm for computing approximate quantiles in high speed data streams with deterministic error bounds. For data streams of size N where N is unknown in advanc...
Qi Zhang, Wei Wang 0010
EOR
2010
103views more  EOR 2010»
13 years 9 months ago
Exploiting special structure in semidefinite programming: A survey of theory and applications
Semidefinite Programming (SDP) may be seen as a generalization of Linear Programming (LP). In particular, one may extend interior point algorithms for LP to SDP, but it has proven...
Etienne de Klerk
KDD
2012
ACM
235views Data Mining» more  KDD 2012»
12 years 6 days ago
A near-linear time approximation algorithm for angle-based outlier detection in high-dimensional data
Outlier mining in d-dimensional point sets is a fundamental and well studied data mining task due to its variety of applications. Most such applications arise in high-dimensional ...
Ninh Pham, Rasmus Pagh
ICPR
2002
IEEE
14 years 2 months ago
Near-Optimal Regularization Parameters for Applications in Computer Vision
Computer vision requires the solution of many ill-posed problems such as optical flow, structure from motion, shape from shading, surface reconstruction, image restoration and ed...
Changjiang Yang, Ramani Duraiswami, Larry S. Davis
STOC
1998
ACM
190views Algorithms» more  STOC 1998»
14 years 2 months ago
Efficient Search for Approximate Nearest Neighbor in High Dimensional Spaces
We address the problem of designing data structures that allow efficient search for approximate nearest neighbors. More specifically, given a database consisting of a set of vecto...
Eyal Kushilevitz, Rafail Ostrovsky, Yuval Rabani