Ara
Toplam kayıt 7, listelenen: 1-7
Cryptanalysis of image encryption with compound chaotic sequence
(IEEE, 2009)
Recently, an image encryption algorithm based on compound chaotic sequence was proposed [Tong et al., Image and Vision Computing 26 (2008) 843]. In this paper, we analyze the security weaknesses of the proposal. We give ...
A robust biclustering method based on crossing minimization in bipartite graphs
(Springer-Verlag Berlin, 2009)
[No abstract available]
Calculating the VC-dimension of decision trees
(IEEE, 2009)
We propose an exhaustive search algorithm that calculates the VC-dimension of univariate decision trees with binary features. The VC-dimension of the univariate decision tree with binary features depends on (i) the ...
An incremental model selection algorithm based on cross-validation for finding the architecture of a Hidden Markov model on hand gesture data sets
(IEEE, 2009-12-13)
In a multi-parameter learning problem, besides choosing the architecture of the learner, there is the problem of finding the optimal parameters to get maximum performance. When the number of parameters to be tuned increases, ...
A robust localization framework to handle noisy measurements in wireless sensor networks
(IEEE, 2009-09-14)
We construct a robust localization framework to handle noisy measurements in wireless sensor networks. Traditionally many approaches employ the distance information gathered from ranging devices of the sensor nodes to ...
Fully decentralized, collaborative multilateration primitives for uniquely localizing WSNs
(Springer-Verlag Berlin, 2009)
We provide primitives for uniquely localizing WSN nodes. The goal is to maximize the number of uniquely localized nodes assuming a fully decentralized model of computation. Each node constructs a cluster of its own and ...
Biclustering expression data based on expanding localized substructures
(Springer-Verlag Berlin Heidelberg, 2009)
Biclustering gene expression data is the problem of extracting submatrices of genes and conditions exhibiting significant correlation across both the rows and the columns of a data matrix of expression values. We provide ...