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Found 10 papers, 1 papers with code
Average performance analysis of the stochastic gradient method for online PCA
This paper studies the complexity of the stochastic gradient algorithm for PCA when the data are observed in a streaming setting.
Efficient and accurate monitoring of the depth information in a Wireless Multimedia Sensor Network based surveillance
In this research work, we propose to use the disparity map that is computed from two or multiple images, in order to monitor the depth information in an object or event under surveillance using WMSN.
Finding optimal finite biological sequences over finite alphabets: the OptiFin toolbox
In this paper, we present a toolbox for a specific optimization problem that frequently arises in bioinformatics or genomics.
Well-supported phylogenies using largest subsets of core-genes by discrete particle swarm optimization
The number of complete chloroplastic genomes increases day after day, making it possible to rethink plants phylogeny at the biomolecular era.
Random Forests for Industrial Device Functioning Diagnostics Using Wireless Sensor Networks
The aim of this article is ($1$) to show that random forests are relevant in this context, due to their flexibility and robustness, and ($2$) to provide first examples of use of this method for diagnostics based on data provided by a wireless sensor network.
Binary Particle Swarm Optimization versus Hybrid Genetic Algorithm for Inferring Well Supported Phylogenetic Trees
Considering a subset of close plant species defined according to their chloroplasts, the phylogenetic tree that can be inferred by their core genes is not necessarily well supported, due to the possible occurrence of problematic genes (i. e., homoplasy, incomplete lineage sorting, horizontal gene transfers, etc.)
Neural Networks and Chaos: Construction, Evaluation of Chaotic Networks, and Prediction of Chaos with Multilayer Feedforward Networks
The purpose of this paper is to establish, based on a rigorous theoretical framework, an equivalence between chaotic iterations according to Devaney and a particular class of neural networks.
Steganalysis via a Convolutional Neural Network using Large Convolution Filters for Embedding Process with Same Stego Key
For the past few years, in the race between image steganography and steganalysis, deep learning has emerged as a very promising alternative to steganalyzer approaches based on rich image models combined with ensemble classifiers.
Multimedia
Hybrid Genetic Algorithm and Lasso Test Approach for Inferring Well Supported Phylogenetic Trees based on Subsets of Chloroplastic Core Genes
The amount of completely sequenced chloroplast genomes increases rapidly every day, leading to the possibility to build large scale phylogenetic trees of plant species.
Gene Similarity-based Approaches for Determining Core-Genes of Chloroplasts
More precisely, we proposed to use genes names, sequence similarities, or both, insured either from NCBI or from DOGMA annotation tools.
