mitoXplorer, a visual data mining platform to systematically analyze and visualize mitochondrial expression dynamics and mutations
Sign Up to like & getrecommendations! Published in 2019 at "Nucleic Acids Research"
DOI: 10.1093/nar/gkz1128
Abstract: Abstract Mitochondria participate in metabolism and signaling. They adapt to the requirements of various cell types. Publicly available expression data permit to study expression dynamics of genes with mitochondrial function (mito-genes) in various cell types,… read more here.
Keywords: data mining; expression dynamics; mitochondrial expression; mining platform ... See more keywords
Boosting Business With Machine Learning-Based Automated Visual Data Processing: Results of Finnish Company Interviews
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2993669
Abstract: Machine Learning (ML) solutions are rapidly evolving and are increasingly capable of performing Automated Visual Data Processing (AVDP) tasks such as visual scene understanding, 3D model reconstruction and automated content generation tasks. We believe that… read more here.
Keywords: business; visual data; data processing; automated visual ... See more keywords
Privacy Aware Affective State Recognition from Visual Data
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3165622
Abstract: Affective state recognition is a key component of any system equipped with emotional awareness and intelligence. The ability of recognizing emotions allows the machine to better understand the user requirements, and guide its decision and… read more here.
Keywords: recognition; visual data; affective state; state recognition ... See more keywords
The JPEG AI Standard: Providing Efficient Human and Machine Visual Data Consumption
Sign Up to like & getrecommendations! Published in 2023 at "IEEE MultiMedia"
DOI: 10.1109/mmul.2023.3245919
Abstract: The Joint Photographic Experts Group (JPEG) AI learning-based image coding system is an ongoing joint standardization effort between International Organization for Standardization (ISO), International Electrotechnical Commission (IEC), and International Telecommunication Union - Telecommunication Sector (ITU-T)… read more here.
Keywords: visual data; consumption; machine; image coding ... See more keywords
Nonlocal Low-Rank Tensor Completion for Visual Data
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2019.2910151
Abstract: In this paper, we propose a novel nonlocal patch tensor-based visual data completion algorithm and analyze its potential problems. Our algorithm consists of two steps: the first step is initializing the image with triangulation-based linear… read more here.
Keywords: tensor; completion; visual data; low rank ... See more keywords
MDSFE: Multiscale Deep Stacking Fusion Enhancer Network for Visual Data Enhancement
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3222517
Abstract: With the rapid development of visual sensors and artificial intelligence (AI), video/image data has increased dramatically, especially in the era of AI-enabled intelligent transportation. In low-light imaging conditions, however, the camera only captures weak scene-reflected… read more here.
Keywords: visual data; fusion; fusion enhancer; stacking fusion ... See more keywords
Multi-Attention DenseNet: A Scattering Medium Imaging Optimization Framework for Visual Data Pre-Processing of Autonomous Driving Systems
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2022.3145815
Abstract: The vision system is important for almost all kinds of autonomous driving systems. However, visual data interfered by scattering media, such as smoke, haze, water, and other non-uniform media will be degraded seriously, showing the… read more here.
Keywords: visual data; scattering medium; driving systems; attention ... See more keywords
Disentangling the Modes of Variation in Unlabelled Data
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2017.2783940
Abstract: Statistical methods are of paramount importance in discovering the modes of variation in visual data. The Principal Component Analysis (PCA) is probably the most prominent method for extracting a single mode of variation in the… read more here.
Keywords: variation; modes variations; variation unlabelled; disentangling modes ... See more keywords
Segmenting Objects from Relational Visual Data.
Sign Up to like & getrecommendations! Published in 2021 at "IEEE transactions on pattern analysis and machine intelligence"
DOI: 10.1109/tpami.2021.3115815
Abstract: In this article, we model a set of pixel-wise object segmentation tasks, i.e., automatic video segmentation (AVS), image co-segmentation (ICS) and few-shot semantic segmentation (FSS), from a unified view of segmenting objects from relational visual… read more here.
Keywords: visual data; relational visual; objects relational; segmenting objects ... See more keywords
FlowSense: A Natural Language Interface for Visual Data Exploration within a Dataflow System
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Visualization and Computer Graphics"
DOI: 10.1109/tvcg.2019.2934668
Abstract: Dataflow visualization systems enable flexible visual data exploration by allowing the user to construct a dataflow diagram that composes query and visualization modules to specify system functionality. However learning dataflow diagram usage presents overhead that… read more here.
Keywords: system; visual data; natural language; data exploration ... See more keywords
XNLI: Explaining and Diagnosing NLI-based Visual Data Analysis
Sign Up to like & getrecommendations! Published in 2023 at "IEEE transactions on visualization and computer graphics"
DOI: 10.1109/tvcg.2023.3240003
Abstract: Natural language interfaces (NLIs) enable users to flexibly specify analytical intentions in data visualization. However, diagnosing the visualization results without understanding the underlying generation process is challenging. Our research explores how to provide explanations for… read more here.
Keywords: visual data; explaining diagnosing; nli based; data analysis ... See more keywords