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data compression  (MathWorks Inc)


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    MathWorks Inc data compression
    Data Compression, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 2341 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/data+compression+toolbox/Database+Toolbox/pm35276410-164-8-25
    Average 96 stars, based on 2341 article reviews
    data compression - by Bioz Stars, 2026-10
    96/100 stars

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    Article Title: End-to-End Ensemble Learning by Exploiting the Correlation Between Individuals and Weights
    Article Snippet: Ensemble learning performs better than a single classifier in most tasks due to the diversity among multiple classifiers.. However, the enhancement of the diversity is at the expense of reducing the accuracies of individual classifiers in general and, thus, how to balance the diversity and accuracies is crucial for improving the ensemble performance.. In this paper, we propose a new ensemble method which exploits the correlation between individual classifiers and their corresponding weights by constructing a joint optimization model to achieve the tradeoff between the diversity and the accuracy.

    Article Title: Adaptive Dynamic Surface Control for a Hybrid Aerial Underwater Vehicle With Parametric Dynamics and Uncertainties
    Article Snippet: A hybrid aerial underwater vehicle (HAUV) that could operate in the air and underwater might provide tremendous potential for ocean monitoring and search and rescue as well as underwater exploration.. Differences between the aerial and underwater environments, along with common disturbances in wind or oceanic currents, present key challenges when designing a robust global controller.. This paper presents a nonlinear dynamic controller, otherwise known as the adaptive dynamic surface control (ADSC) scheme, which effectively deals with the challenges aroused by the nonlinearities, uncertainties, and time-varying parameters of the system.

    Article Title: Towards Next-Generation Vehicles Featuring the Vehicle Intelligence
    Article Snippet: Safe driving and minimizing the number of casualties are the main motivations of researchers and car companies for decades.. They also care very much on saving fuel consumption and high comfort-level trips.. With the help of advanced driver assistance systems (ADAS) applications, safer, more comfortable, and greener trips are very likely at the present time.

    Article Title: Robust Obstacle Detection and Recognition for Driver Assistance Systems
    Article Snippet: This paper proposes a robust obstacle detection and recognition method for driver assistance systems.. Unlike existing methods, our method aims to detect and recognize obstacles on the road rather than all the obstacles in the view.. The proposed method involves two stages aiming at an increased quality of the results.

    Article Title: Block Simplex Signal Recovery: Methods, Trade-Offs, and an Application to Routing
    Article Snippet: This paper presents the problem of block simplex constrained signal recovery, which has been demonstrated to be a suitable formulation for estimation problems in networks such as route flow estimation in traffic.. There are several natural approaches to this problem: compressed sensing, Bayesian inference, and convex optimization.. This paper presents new methods within each framework and assesses their respective abilities to reconstruct signals, with the particular emphasis on sparse recovery, ability to incorporate prior information, and scalability.

    Article Title: Multi-Scale and Multi-Scope Convolutional Neural Networks for Destination Prediction of Trajectories
    Article Snippet: Precise destination prediction from partial trajectories have a huge potential impact on intelligent location-based approaches.. Traditional prediction approaches, which treat trajectories as one-dimensional sequences and process them in a single scale, fail to capture diverse and rich two-dimensional patterns of trajectories in different spatial scales.. Meanwhile, most models treat each portion of a trajectory equally in terms of contributing to final destination prediction.

    Article Title: Non-targeted Gas Chromatography Orbitrap Mass Spectrometry qualitative and quantitative analysis of semi-volatile organic compounds in indoor dust using the Regions of Interest Multivariate Curve Resolution chemometrics procedure.
    Article Snippet: Home-made MATLAB routines used for OIMCR identification and data compression are given in [ 11 , 12 ]. icrosoft Excel and MCR-ALS Toolbox [16] (under MATLAB, Release 014b; The Mathworks Inc., Natick, MA, USA) have been used for he ROIMCR data analysis.

    Microscopy:

    Article Title: The Hierarchical Continuous Pursuit Learning Automation: A Novel Scheme for Environments With Large Numbers of Actions
    Article Snippet: .. Fuzzy set theory Nerve tissues Gynecology Elastography Integrated circuit testing Algorithm design and theory System-on-chip Microscopy Nervous system Partitioning algorithms Web and internet services. (10) middleware Video compression Hepatectomy Holmium Heat engines Matlab MIMICs Standby generators Matlab Standby generators. ..



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