An efficient algorithm for data visualization is presented. Its purpose is to display the data distribution on the outside of three-dimensional (3D) unstructured grid. For speeding up the visualization procedure
Dimensionality reduction is widely used in the visualization, compression, exploration and classification of data. Yet a generally applicable solution remains unavailable. Here, we report an accurate and broadly applicable data-driven algorithm for dimensionality reduction. The algorithm, which we named ‘...
data sets,the visualization classification algorithm demonstrates the effect of key pamrameters of the classification algorithm on the classification surface.By implementing the visualization method of the one-class classification in the calling sequence for the mainframe system anomaly detection,the process...
For example, visualization and cross-tabulations are used in business intelligence, data mining, and statistics. Data miners use many analysis techniques from statistics but often ignore some techniques like factor analysis (not always wisely). In addition, data mining includes a lot of techniques ...
Cap Analysis of Gene Expression (CAGE) has emerged as a powerful experimental technique for assisting in the identification of transcription start sites (TSSs). There is strong evidence that CAGE also identifies capping sites along various other location
Jana's job is to take loosely defined problems, design robust solutions, and find the quickest path to implementation while ensuring the solution is never a "black box" for the client.Show More AlgorithmsPythonSQLPostgreSQLTableau DevelopmentSASETLData AnalysisData VisualizationData ScienceExcel ...
GPU-accelerated data expansion for the Marching Cubes algorithm San Jose (CA) | September 23rd, 2010 Christopher Dyken, SINTEF Norway Gernot Ziegler, NVIDIA UK Agenda Motivation & Background Data Compaction and Expansion — Histogram Pyramid algorithm and its variations — Optimizations and...
Developing visualization support for matrix calculus development went similar as the development of more traditional visual support systems for data analysts. First, we had to acquaint ourselves with the problem, its language and challenges by talking to the core developer of the matrix calculus ...
We design and implement a software solution for visualization of multi-dimensional, classified medical data using the FastMap algorithm for graduate reduction of dimensions. The implementation of the graphical user interface is described in detail since it is the most important factor for the ease of...
Deep learning (DL) based detection models are powerful tools for large-scale analysis of dynamic biological behaviors in video data. Supervised training of a DL detection model often requires a large amount of manually-labeled training data which are time-consuming and labor-intensive to acquire. ...