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PAMI
2008
161views more  PAMI 2008»
15 years 1 months ago
TRUST-TECH-Based Expectation Maximization for Learning Finite Mixture Models
The Expectation Maximization (EM) algorithm is widely used for learning finite mixture models despite its greedy nature. Most popular model-based clustering techniques might yield...
Chandan K. Reddy, Hsiao-Dong Chiang, Bala Rajaratn...
SCN
2008
Springer
15 years 1 months ago
Linear Bandwidth Naccache-Stern Encryption
Abstract. The Naccache-Stern (ns) knapsack cryptosystem is an original yet little-known public-key encryption scheme. In this scheme, the ciphertext is obtained by multiplying publ...
Benoît Chevallier-Mames, David Naccache, Jac...
PR
2006
87views more  PR 2006»
15 years 1 months ago
Prototype reduction schemes applicable for non-stationary data sets
All of the prototype reduction schemes (PRS) which have been reported in the literature, process time-invariant data to yield a subset of prototypes that are useful in nearest-nei...
Sang-Woon Kim, B. John Oommen
SIGIR
2008
ACM
15 years 1 months ago
Comments-oriented document summarization: understanding documents with readers' feedback
Comments left by readers on Web documents contain valuable information that can be utilized in different information retrieval tasks including document search, visualization, and ...
Meishan Hu, Aixin Sun, Ee-Peng Lim
BMCBI
2005
106views more  BMCBI 2005»
15 years 1 months ago
SIMPROT: Using an empirically determined indel distribution in simulations of protein evolution
Background: General protein evolution models help determine the baseline expectations for the evolution of sequences, and they have been extensively useful in sequence analysis an...
Andy Pang, Andrew D. Smith, Paulo A. S. Nuin, Elis...