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» Robust estimation for sparse data
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ICPR
2010
IEEE
14 years 11 months ago
Boosting Bayesian MAP Classification
In this paper we redefine and generalize the classic k-nearest neighbors (k-NN) voting rule in a Bayesian maximum-a-posteriori (MAP) framework. Therefore, annotated examples are u...
Paolo Piro, Richard Nock, Frank Nielsen, Michel Ba...
137
Voted
IMA
2007
Springer
137views Cryptology» more  IMA 2007»
15 years 7 months ago
Algebraic Cryptanalysis of the Data Encryption Standard
In spite of growing importance of AES, the Data Encryption Standard is by no means obsolete. DES has never been broken from the practical point of view. The triple DES is believed ...
Nicolas Courtois, Gregory V. Bard
CSDA
2008
111views more  CSDA 2008»
15 years 1 months ago
Automatic bandwidth selection for circular density estimation
Given angular data 1, . . . , n [0, 2) a common objective is to estimate the density. In the case that a kernel estimator is used, bandwidth selection is crucial to the performan...
Charles C. Taylor
IM
2007
15 years 3 months ago
Estimating End-to-End Performance by Collaborative Prediction with Active Sampling
— Accurately estimating end-to-end performance in distributed systems is essential both for monitoring compliance with service-level agreements (SLAs) and for performance optimiz...
Irina Rish, Gerald Tesauro
SIGMOD
2001
ACM
142views Database» more  SIGMOD 2001»
16 years 1 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