very large 3D data sets
Very Fast Interactive Visualization of Large Sets of High-dimensional Data
... interactive data visualization is very fast generation of 2D/3D maps, which preserve in X the clusters separation from ...original data and are known before mapping, so they can be recalled in ...
10
Integration of a big data emerging on large sparse simulation and its application on green computing platform
... analyzing large data and verifying a big data set are a challenge for understanding the fundamental concept behind ...big data analysis techniques suffer from the poor scalability, variation ...
10
Very Large Scale Visualization Methods for Astrophysical Data
... The concept of creating pictures and animations to expose these vast realms has a long history. As early as 1957, a small book by Kees Boeke entitled “Cosmic View: The Universe in Forty Jumps” [1] had already appeared ...
11
Using Very Large Volume Data Sets for Collaborative Systems Study
... the very large ...of data mining, especially on those commer- cials, which are intended for a single ...for data preprocessing, and for data classification are used decision trees, ...
9
Popularity Analysis on Social Network: A Big Data Analysis
... store data. It brings processing to the data, not data to processing ...of data in the Hadoop framework is done using a MapReduce ...a data set, divide it, and run it in parallel over ...
5
Big Data and Hadoop with Components like Flume, Pig, Hive and Jaql
... to data using large cluster of commodity ...have data chunks; it keeps the metadata about chunks such as their label, their copy locations and their reading or writing ...
7
How far are we from solving the 2D & 3D face alignment problem? (and a dataset of 230,000 3D facial landmarks)
... on large pose and 3D face alignment in- cludes [20, 50] which perform face alignment by fitting a 3D Morphable Model (3DMM) to a 2D facial ...and 3D face alignment based on two components: (a) ...
10
Design and Research of Hadoop Distributed Cluster Based on Raspberry
... ABSTRACT : Based on the cost saving, this Hadoop distributed cluster based on raspberry is designed for the storage and processing of massive data. This paper expounds the two core technologies in the Hadoop ...
6
Projection error evaluation for large multidimensional data sets
... with large data sets, the problem of estimating the projection error arises, huge distance matrices (or vectors) are used and they require large memory resources ...is very quick even ...
11
Large SMT data sets extracted from Wikipedia
... We have to emphasize that the removal of the test and development set sentences from the training corpora does not ensure an unbiased evaluation of the BLEU scores since their context still remained in the training ...
8
A System for Multilingual Sentiment Learning On Large Data Sets
... a data set that is substantially larger than that typically encountered in the ...this data set by crawling and mining various web sites for reviews of products and ...testing sets uniformly at ...
16
Radial Basis Function (RBF) Neural Network for Load Forecasting during Holiday
... historical data such as wind speed, precipitation, atmospheric pressure, temperature and humidity is highly considered as the influenced factors to the load behavior ...actual data of peak load several days ...
5
Past, Present, and Future of Face Recognition: A Review
... Following the previous work, Boutella et al. [87] (2014) noted that the histograms extracted from blocks are mostly sparse in the original LBP facial representation and its variants; most bins in the histogram are near ...
56
Secure and privacy of large data using map reduction for anonymize large-scale data sets in cloud
... A large number of cloud services require users to share private data like electronic health records for data analysis or mining, bringing privacy ...Anonymizing data sets via ...
5
Precision-Recall versus Accuracy and the Role of Large Data Sets
... imbalanced data. In the first experiment, all data sets were stratified into ten ...selected data in one fold as small training set, eight folds as large training set, and the last fold ...
10
Analysis of large data sets using formal concept lattices
... Although large data sets may be difficult to deal with computationally, it is the number of formal concepts derived from a data set that is the key factor in de- termining if a concept lattice ...
13
Strategies for MCR image analysis of large hyperspectral data sets
... capturing data from whole individual array spots and some surrounding pHEMA back- ground at a resolution of 256 256 ...(the data from which were added ...
5
The compression–error trade-off for large gridded data sets
... individual data set, one needs to consider several ...the data sets in ques- tion will vary considerably for different ...Third, data sets vary considerably in their inherent ...
11
Parallel Computing for Mixed-Stable Modelling of Large Data Sets
... of large data ...be very computationally demanding. Financial German DAX stock index data are used as empirical data in this ...are very efficient and scalable on distributed and ...
7
Detection and Deletion of Outliers from Large Datasets
... in very large data ...the data in the data ...the data sets are obtained by using the distance based method and finally they are all ...
5