Papers Data Visualization
“Data Visualization” 태그가 달린 논문 335편 · 필터 해제
Efficient Image Splicing Localization via Contrastive Feature Extraction
In this work, we propose a new data visualization and clustering technique for discovering discriminative structures in high-dimensional data. This technique, referred to as cPCA++, utilizes the fact that the interesting…
ClusteringData VisualizationNavigating through the R packages for movement
The advent of miniaturized biologging devices has provided ecologists with unparalleled opportunities to record animal movement across scales, and led to the collection of ever-increasing quantities of tracking data. In …
Data VisualizationFault Location in Power Distribution Systems via Deep Graph Convolutional Networks
This paper develops a novel graph convolutional network (GCN) framework for fault location in power distribution networks. The proposed approach integrates multiple measurements at different buses while taking system top…
Data AugmentationData VisualizationAnalyzing Visual Mappings of Traditional and Alternative Music Notation
In this paper, we postulate that combining the domains of information visualization and music studies paves the ground for a more structured analysis of the design space of music notation, enabling the creation of altern…
Data VisualizationCo-manifold learning with missing data
Representation learning is typically applied to only one mode of a data matrix, either its rows or columns. Yet in many applications, there is an underlying geometry to both the rows and the columns. We propose utilizing…
ClusteringData VisualizationRepresentation LearningTrace Quotient with Sparsity Priors for Learning Low Dimensional Image Representations
This work studies the problem of learning appropriate low dimensional image representations. We propose a generic algorithmic framework, which leverages two classic representation learning paradigms, i.e., sparse represe…
Data VisualizationDimensionality ReductionRepresentation LearningPerson-Job Fit: Adapting the Right Talent for the Right Job with Joint Representation Learning
Person-Job Fit is the process of matching the right talent for the right job by identifying talent competencies that are required for the job. While many qualitative efforts have been made in related fields, it still lac…
Data VisualizationRepresentation LearningReal Time Monitoring of Social Media and Digital Press
Talaia is a platform for monitoring social media and digital press. A configurable crawler gathers content with respect to user defined domains or topics. Crawled data is processed by means of the EliXa Sentiment Analysi…
Data VisualizationDomain AdaptationSentiment AnalysisTorchbearer: A Model Fitting Library for PyTorch
We introduce torchbearer, a model fitting library for pytorch aimed at researchers working on deep learning or differentiable programming. The torchbearer library provides a high level metric and callback API that can be…
Data VisualizationDeep LearningmodelVizML: A Machine Learning Approach to Visualization Recommendation
Data visualization should be accessible for all analysts with data, not just the few with technical expertise. Visualization recommender systems aim to lower the barrier to exploring basic visualizations by automatically…
BIG-bench Machine LearningData VisualizationRecommendation SystemsVisual Display and Retrieval of Music Information
This paper describes computational methods for the visual display and analysis of music information. We provide a concise description of software, music descriptors and data visualization techniques commonly used in musi…
Data VisualizationInformation RetrievalMusic Information RetrievalRetrievalKernelized Synaptic Weight Matrices
In this paper we introduce a novel neural network architecture, in which weight matrices are re-parametrized in terms of low-dimensional vectors, interacting through kernel functions. A layer of our network can be i…
Collaborative FilteringData VisualizationRecommendation SystemsOnline monitoring of local taxi travel momentum and congestion effects using projections of taxi GPS-based vector fields
Ubiquitous taxi trajectory data has made it possible to apply it to different types of travel analysis. Of interest is the need to allow someone to monitor travel momentum and associated congestion in any location in spa…
Data VisualizationA DCA-Like Algorithm and its Accelerated Version with Application in Data Visualization
In this paper, we present two variants of DCA (Different of Convex functions Algorithm) to solve the constrained sum of differentiable function and composite functions minimization problem, with the aim of increasing the…
Data VisualizationFrancy - An Interactive Discrete Mathematics Framework for GAP
Data visualization and interaction with large data sets is known to be essential and critical in many businesses today, and the same applies to research and teaching, in this case, when exploring large and complex mathem…
Data VisualizationV-CNN: When Convolutional Neural Network encounters Data Visualization
In recent years, deep learning poses a deep technical revolution in almost every field and attracts great attentions from industry and academia. Especially, the convolutional neural network (CNN), one representative mode…
Data VisualizationDeep LearningIntrusion DetectionNetwork Intrusion DetectionCross-cultural differences in language markers of depression online
Depression is a global mental health condition that affects all cultures. Despite this, the way depression is expressed varies by culture. Uptake of machine learning technology for diagnosing mental health conditions mea…
Cultural Vocal Bursts Intensity PredictionData VisualizationDynamics of an idiostyle of a Russian suicidal blogger
Over 800000 people die of suicide each year. It is es-timated that by the year 2020, this figure will have in-creased to 1.5 million. It is considered to be one of the major causes of mortality during adolescence. Thus t…
Data VisualizationText ClassificationVINE: An Open Source Interactive Data Visualization Tool for Neuroevolution
Recent advances in deep neuroevolution have demonstrated that evolutionary algorithms, such as evolution strategies (ES) and genetic algorithms (GA), can scale to train deep neural networks to solve difficult reinforceme…
Data VisualizationEvolutionary AlgorithmsReinforcement LearningReinforcement Learning (RL)A new robust feature selection method using variance-based sensitivity analysis
Excluding irrelevant features in a pattern recognition task plays an important role in maintaining a simpler machine learning model and optimizing the computational efficiency. Nowadays with the rise of large scale datas…
BIG-bench Machine LearningComputational EfficiencyData Visualizationfeature selection+1