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TSP
2008
132views more  TSP 2008»
13 years 6 months ago
On Doubly Selective Channel Estimation Using Superimposed Training and Discrete Prolate Spheroidal Sequences
Abstract--Channel estimation and data detection for frequencyselective time-varying channels are considered using superimposed training. We employ a discrete prolate spheroidal bas...
Shuangchi He, Jitendra K. Tugnait
PRL
2010
188views more  PRL 2010»
13 years 2 months ago
A fast divisive clustering algorithm using an improved discrete particle swarm optimizer
As an important technique for data analysis, clustering has been employed in many applications such as image segmentation, document clustering and vector quantization. Divisive cl...
Liang Feng, Ming-Hui Qiu, Yu-Xuan Wang, Qiao-Liang...
DNA
2007
Springer
127views Bioinformatics» more  DNA 2007»
14 years 1 months ago
Discrete Simulations of Biochemical Dynamics
Abstract. Metabolic P systems, shortly MP systems, are a special class of P systems, introduced for expressing biological metabolism. Their dynamics are computed by metabolic algor...
Vincenzo Manca
JMLR
2012
11 years 10 months ago
A Stick-Breaking Likelihood for Categorical Data Analysis with Latent Gaussian Models
The development of accurate models and efficient algorithms for the analysis of multivariate categorical data are important and longstanding problems in machine learning and compu...
Mohammad Emtiyaz Khan, Shakir Mohamed, Benjamin M....
ICANNGA
2009
Springer
145views Algorithms» more  ICANNGA 2009»
14 years 2 months ago
Supporting Scalable Bayesian Networks Using Configurable Discretizer Actuators
We propose a generalized model with configurable discretizer actuators as a solution to the problem of the discretization of massive numerical datasets. Our solution is based on a ...
Isaac Olusegun Osunmakinde, Antoine B. Bagula