Map vs. Unordered Map: An Analysis on Large Datasets
نویسندگان
چکیده
منابع مشابه
Lep-MAP: fast and accurate linkage map construction for large SNP datasets
MOTIVATION Current high-throughput sequencing technologies allow cost-efficient genotyping of millions of single nucleotide polymorphisms (SNPs) for hundreds of samples. However, the tools that are currently available for constructing linkage maps are not well suited for large datasets. Linkage maps of large datasets would be helpful in de novo genome assembly by facilitating comprehensive geno...
متن کاملModelling, myth vs reality, map vs territory
modeling, representation, analysis Model making and manipulation, conscious or unconscious plays a major role in all of our lives. All of us perceive the world and the day to day problems we need to solve through the filters of internal models, and for better or worse, these filters affect all aspects of our interactions and our decision making. Externalising those models, either formally or in...
متن کاملAn integrated pan-tropical biomass map using multiple reference datasets.
We combined two existing datasets of vegetation aboveground biomass (AGB) (Proceedings of the National Academy of Sciences of the United States of America, 108, 2011, 9899; Nature Climate Change, 2, 2012, 182) into a pan-tropical AGB map at 1-km resolution using an independent reference dataset of field observations and locally calibrated high-resolution biomass maps, harmonized and upscaled to...
متن کاملMAP Model for Large-scale 3D Reconstruction and Coarse Matching for Unordered Wide-baseline Photos
In this paper we presented a novel idea for large-scale 3D scene reconstruction and annealing based image grouping algorithm for unordered wide-baseline photos. Firstly, an alternative maximum a posterior (MAP) model which can easily incorporate image clustering prior knowledge is proposed. Second, an efficient annealing clustering algorithm is developed for organizing photos into clusters by c...
متن کاملEffective Distribution of Large Scale Datasets Clustering Based on Map Reduce
Big data is a broad term for data sets so large or complex that traditional data processing applications are inadequate. Challenge sinclude analysis, capture, data curation,search, sharing, storage, transfer, visualization, querying andinformation privacy. The term often refers simply to the use of predictive analytics or certain other advanced methods to extract value from data, and seldom to ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2015
ISSN: 0975-8887
DOI: 10.5120/ijca2015906322