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» Complexity Dimensions and Learnability
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STOC
2006
ACM
244views Algorithms» more  STOC 2006»
16 years 4 days ago
Approximate nearest neighbors and the fast Johnson-Lindenstrauss transform
We introduce a new low-distortion embedding of d 2 into O(log n) p (p = 1, 2), called the Fast-Johnson-LindenstraussTransform. The FJLT is faster than standard random projections ...
Nir Ailon, Bernard Chazelle
VLDB
2005
ACM
153views Database» more  VLDB 2005»
16 years 1 days ago
An effective and efficient algorithm for high-dimensional outlier detection
Abstract. The outlier detection problem has important applications in the field of fraud detection, network robustness analysis, and intrusion detection. Most such applications are...
Charu C. Aggarwal, Philip S. Yu
SIGMOD
2001
ACM
142views Database» more  SIGMOD 2001»
15 years 12 months ago
Outlier Detection for High Dimensional Data
The outlier detection problem has important applications in the eld of fraud detection, network robustness analysis, and intrusion detection. Most such applications are high dimen...
Charu C. Aggarwal, Philip S. Yu
EDBT
2008
ACM
122views Database» more  EDBT 2008»
15 years 12 months ago
Mining all frequent projection-selection queries from a relational table
In this paper we study the problem of mining all frequent queries in a given database table, a problem known to be intractable even for conjunctive queries. We restrict our attent...
Tao-Yuan Jen, Dominique Laurent, Nicolas Spyratos
DCC
2006
IEEE
15 years 11 months ago
Optimal Index Assignment for Multiple Description Lattice Vector Quantization
Optimal index assignment of multiple description lattice vector quantizer (MDLVQ) can be posed as a large-scale linear assignment problem. But is this expensive algorithmic approa...
Xiang Huang, Xiaolin Wu