Features extraction and selection

Ebook "Statistical pattern recognition" includes content: Introduction to statistical pattern recognition, density estimation – parametric, density estimation – nonparametric, linear discriminant analysis, nonlinear discriminant analysis – kernel methods, nonlinear discriminant analysis – projection methods, tree-based methods, performance, feature selection and extraction, clustering, additional topics,... and other contents.

515p haojiubujain07 20-09-2023 3 2   Download

This paper introduces a high-throughput unsupervised feature selection method, which improves the robustness and scalability of electronic medical record phenotyping without compromising its accuracy.

7p visteverogers 24-06-2023 7 2   Download

The novelty of our approach relies on a proper flow and fusion of information (DGHNL structure and its optimization). We show that the proposed DGHNL model with a 29-layer structure is capable to achieve the prediction accuracy of 94.60% (54 errors per 1000 classifications) for the Statlog German credit approval data.

18p guernsey 28-12-2021 8 1   Download

In this paper, an attempt has been made to extract the valuable information by selecting the relevant features using our proposed EGWO-SVM (enhanced grey wolf optimizationsupport vector machine) approach.

21p redemption 20-12-2021 7 0   Download

To overcome these shortcomings, we proposed a deep Autoencoder based representation for Arabic text categorization. It consisted of three stages: (1) Extracting from Arabic WordNet the most relevant concepts based on feature selection processes (2) Features learning via an unsupervised algorithm for text representation (3) Categorizing text using deep Autoencoder.

18p spiritedaway36 28-11-2021 11 0   Download

Currently, one of the most powerful side channel attacks (SCA) is profiled attack. Machine learning algorithms, for example support vector machine (SVM), are currently used to improve the effectiveness of the attack. One issue of using SVM-based profiled attack is extracting points of interest (POIs), or features from power traces. Our work proposes a novel method for POIs selection of power traces based on the combining variational mode decomposition (VMD) and Gram-Schmidt orthogonalization (GSO).

14p chauchaungayxua12 11-05-2021 21 4   Download

Assigning a protein into one of its folds is a transitional step for discovering three dimensional protein structure, which is a challenging task in bimolecular (biological) science. The present research focuses on: 1) the development of classifiers, and 2) the development of feature extraction techniques based on syntactic and/or physicochemical properties.

11p viwyoming2711 16-12-2020 16 0   Download

Continual progress in next-generation sequencing allows for generating increasingly large metagenomes which are over time or space. Comparing and classifying the metagenomes with different microbial communities is critical.

12p vikentucky2711 24-11-2020 8 1   Download

In protein design, correct use of topology is among the initial and most critical feature. Meticulous selection of backbone topology aids in drastically reducing the structure search space. With ProLego, we present a server application to explore the component aspect of protein structures and provide an intuitive and efficient way to scan the protein topology space.

6p viconnecticut2711 28-10-2020 15 1   Download

Melanoma is the deadliest type of skin cancer with highest mortality rate. However, the annihilation in its early stage implies a high survival rate therefore, it demands early diagnosis. The accustomed diagnosis methods are costly and cumbersome due to the involvement of experienced experts as well as the requirements for the highly equipped environment.

20p vibaku2711 22-07-2020 14 2   Download

This research will add insight and knowledge to understand batik patterns based on the characteristics of batik motifs, namely texture. There are five batik motifs used, namely inland solo batik, semarang coastal batik, sidhomukti batik, parangklithik batik, and sidhodrajat batik. Initially preprocessing is done by cropping and grayscalling.

5p lucastanguyen 28-05-2020 10 1   Download

In the present study, analysis of geomorphometric characteristics of osman sagar and Himayat sagar catchment was carried out using remote sensing and GIS and the drainage networks of the both the catchment were generated using SRTM DEM (90 m resolutions). Two adjacent catchments, Himayath sagar and Osman sagar, located Rangareddy district of Telangana state, India were selected for study. Morphometric features and drainage network of Himayath sagar and Osman sagar catchments were extracted from DEM using ArcGIS software.

11p caygaocaolon4 04-04-2020 25 2   Download

This paper presents an automatic Heart Disease (HD) prediction method based on feature selection with data mining techniques using the provided symptoms and clinical information assigned in the patients dataset. Data mining which allows the extraction of hidden knowledges from the data and explores the relationship between attributes, is the promising technique for HD prediction.

15p viconandoyle2711 29-08-2019 18 0   Download

A high frequency directional pass band from of the contourlet transform is selected for data embedding. Image features like Peak Signal to Noise Ratio (PSNR). The proposed method show that we could successfully embed data in cover_images and extract it with the average embedding capacity of (1/16) bits per pixel without any error. High capacity can be achieved using this method according to block size.

8p girlsseek 27-02-2019 26 1   Download

This paper presents an automatic Heart Disease (HD) prediction method based on feature selection with data mining techniques using the provided symptoms and clinical information assigned in the patients dataset. Data mining which allows the extraction of hidden knowledges from the data and explores the relationship between attributes, is the promising technique for HD prediction.

15p thuyliebe 05-10-2018 59 0   Download

We propose a content based video retrieval system in some main steps resulting in a good performance. From a main video, we process extracting keyframes and principal objects using Segmentation of Aggregating Superpixels (SAS) algorithm. After that, Speeded Up Robust Features (SURF) are selected from those principal objects. Then, the model “Bag-of-words” in accompanied by SVM classification are applied to obtain the retrieval result. Our system is evaluated on over 300 videos in diversity from music, history, movie, sports, and natural scene to TV program show.

10p tieuthi3006 16-03-2018 48 2   Download

Document revision histories are a useful and abundant source of data for natural language processing, but selecting relevant data for the task at hand is not trivial. In this paper we introduce a scalable approach for automatically distinguishing between factual and fluency edits in document revision histories.

11p bunthai_1 06-05-2013 56 2   Download

Automatic image annotation is an attractive approach for enabling convenient access to images found in a variety of documents. Since image captions and relevant discussions found in the text can be useful for summarizing the content of images, it is also possible that this text can be used to generate salient indexing terms. Unfortunately, this problem is generally domainspecific because indexing terms that are useful in one domain can be ineffective in others.

8p bunthai_1 06-05-2013 66 2   Download

We explore learning prepositionalphrase attachment in Dutch, to use it as a filter in prosodic phrasing. From a syntactic treebank of spoken Dutch we extract instances of the attachment of prepositional phrases to either a governing verb or noun. Using cross-validated parameter and feature selection, we train two learning algorithms, TB I and RIPPER, 011 making this distinction, based on unigram and bigram lexical features and a cooccurrence feature derived from WWW counts.

8p bunthai_1 06-05-2013 51 1   Download

In this paper we address the problem of extracting features relevant for predicting protein±protein interaction sites from the three-dimensional structures of protein complexes. Our approach is based on information about evolutionary con-servation and surface disposition. We implement a neural network based system, which uses a cross validation proce-dure and allows the correct detection of 73% of the residues involved in protein interactions in a selected database comprising 226 heterodimers.

6p research12 29-04-2013 29 2   Download