[PDF] Top 20 Image Classification Using Data Compression Techniques
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Image Classification Using Data Compression Techniques
... Keywords—Image Classification, Data Compression, NCD, Kolmogorov Complexity, JPEG, ...URRENTLY image classification systems are based on the one or more features extraction to ... Voir le document complet
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DNA CODING FOR IMAGE STORAGE USING IMAGE COMPRESSION TECHNIQUES
... of data storage increases ...DNA data storage introduces a strong candidate to achieve data ...the compression of a great amount of information into an extraordinary small volume while also ... Voir le document complet
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Improving Auto-Encoders' self-supervised image classification using pseudo-labelling via data augmentation and the perceptual loss
... images using data augmentation and we combined it with Auto- Encoders and the perceptual loss to do self-supervised image ...the data augmentation that has been applied and create rich ... Voir le document complet
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Study of the Impact of Standard Image Compression Techniques on Performance of Image Classification with a Convolutional Neural Network
... Because image compression is time consuming, a particular attention was given to avoid recreating several times the dataset of compressed ...the compression of a given image with given ... Voir le document complet
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Improving IoT data stream analytics using summarization techniques
... • The second part covers the main body of the thesis which includes our main contributions. It is divided in four chapters. The order of the chapters does not necessarily follow the chronology of the research thesis ... Voir le document complet
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Optimum SNR data compression in hardware using an Eigencoil array
... mode, using all eight receiver channels for the eight loop elements of the head portion of the coil, or in neurovascular mode; only three receivers are utilized for the head portion using this eigenmode ... Voir le document complet
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Understanding the visual cortex by using classification techniques
... d’apprentissage statistique. De mani`ere concise, l’inf´erence inverse construit une fonction de pr´ediction, en utilisant les cartes d’activations, qui peut alors ˆetre utilis´ee pour pr´edire une variable ... Voir le document complet
245
Lossless Image Compression and Selective Encryption Using a Discrete Radon Transform
... time, compression ratios, and percentage of encrypted data for several number of ...of compression ra- tio and processing time is located at 8 ...the compression ratios pro- vided by the ... Voir le document complet
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Hybrid methods for image compression
... optimal compression rate [18]. Experimental results showed that the compression ratio of the arithmetic coding for text les is better than Human coding, while the performance of the Human coding is ... Voir le document complet
126
Non-rigid 3D shape classification using Bag-of-Feature techniques
... 3D-Shape, classification. 1. INTRODUCTION The 3D-object classification has emerged as an important area in computer vision and multimedia ...actual classification, that associates the object model to ... Voir le document complet
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Efficient and large-scale land cover classification using multiscale image analysis
... compact data structure, and involves a new merging ...one image scan and the merging achieved over the tile ...the image surface in as many parts (called tiles) as avail- able processors ...count ... Voir le document complet
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Image Processing by Compression: An Overview
... Image Processing by Compression: An Overview ...of data compression in image ...different data compression techniques to classify, segment, filter and detect ... Voir le document complet
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Novel computational techniques for mapping and classification of Next-Generation Sequencing data
... rearrangements or gene duplications) may cause more substantial differences between the two genomes making it impossible to deduce the true origin of some reads using similarity search. Sequencing errors constitute ... Voir le document complet
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Analyzing student inquiry data using process discovery and sequence classification
... poral data mining consist of 1) prediction, 2) classification, 3) clustering, 4) search and retrieval, and 5) pattern discov- ...accomplished using a number of established techniques in the ... Voir le document complet
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Efficient Batch-Incremental Classification Using UMAP for Evolving Data Streams
... high-dimensional data streams poses significant challenges in the classification ...the data stream mining area that proved to be very resource-intensive when dealing with high-dimensional ... Voir le document complet
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Increasing secondary diagnosis encoding quality using data mining techniques
... episode using International Classification of Disease ...leverages data mining techniques in order to explore medical databases of previously encoded secondary diagnoses and use the stored ... Voir le document complet
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Increasing secondary diagnosis encoding quality using data mining techniques
... episode using International Classification of Disease ...leverages data mining techniques in order to explore medical databases of previously encoded secondary diagnoses and use the stored ... Voir le document complet
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High resolution SAR-image classification
... classification using solely the amplitude data and not the complex data as the approaches ...several image products provided by novel high resolution satellite SAR systems are geocoded ... Voir le document complet
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Kernel-based learning on hierarchical image representations : applications to remote sensing data classification
... size is small. We can see that the SPM model improves the Gaussian kernel on the root region when using two levels of pyramid (L2). However, the results drop down dramatically when four levels of pyramid (L4) are ... Voir le document complet
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Pattern classification with missing data using belief functions
... c classification results should be discounted with different weights, and the discounted results are globally fused for the credal classification of the ...c classification results are quite ... Voir le document complet
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