Qualitative results for two large-scale datasets
Large vario-scale datasets
... Processing one field means applying generalization operations: Merging faces, re- moving boundaries (edges), simplification of edges, collapsing areas to line features and spli ing of faces. This leads to simplification of ...
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Computational learning algorithms for large-scale datasets
... can scale out over distributed architectures is ...Experimental results demonstrate the adequacy of the distributed proposal, not only in terms of performance but also in computational time ...
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Parallel Framework for Dimensionality Reduction of Large-Scale Datasets
... gain qualitative and quantitative understanding of the ...not scale to datasets arising in real-life applications, which may consist of thousands of points with millions of ...of ...
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Distributed approximate spectral clustering for large-scale datasets
... Clustering large datasets is an actively researched area [68] [12] ...target large-scale scalable image ...clustering large datasets. Two main components of iVIBRATE are ...
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Workload-Aware Anonymization Techniques for Large-Scale Datasets
... their datasets, they would likely be able to infer more precise information than was intended by the ...by two or more malicious recipients may be sufficiently low to be considered ...
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Support Vector Pruning with SortedVotes for Large-Scale Datasets
... A VERAGE CALCULATION TIME PER PRUNING PROCEDURE V. C ONCLUSIONS In this paper we present effective and straight forward methods for pruning SVM classifiers. With respect to linear classification results our proposed ...
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On the effects of large-scale transcriptomics datasets on gene functional analyses
... The main functional categories of the FunCat are listed in Table 1. As discussed earlier, an important consideration for a new ontology or annotation scheme is machine readability and human usability. The FunCat scheme ...
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Training pairwise Support Vector Machines with large scale datasets
... The results of these PSVM models, trained with a reduced set of speakers, con- firm that discriminative training needs a sufficient variety of speakers to avoid overfitting, but is able to outperform PLDA ...
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An Effortless Way To Create Large-Scale Datasets For Famous Speakers
... 6. Results of the User Experiment Fifteen volunteers from Ina took part in the evaluation of the ...a large part of the database segments which had to be modified (19% of the hand-checked segments), as ...
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The effects of linkage disequilibrium in large scale SNP datasets for MDR
... at two genetic variants, the two which have become most popular in genetic epidemiology are r 2 and D ’ ...the two alleles and will only be large if both are similar in ...the two loci ...
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Modelling aggregation on the large scale and regularity on the small scale in spatial point pattern datasets
... Second, we assumed that only X is observed. The hardcore distance D in models 3. and 4. was then estimated by the minimal pairwise distance observed in X, the value k = 1 in models 1. and 3. was assumed to be fixed, and ...
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Sociodemographic differences in linkage error: an examination of four large scale datasets
... While no high quality studies exist comparing levels of geographic remoteness, several previous studies have found lower linkage quality in younger individuals [36, 37]. The results found in this study suggests ...
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Analyzing large scale cheminformatics and chemogenomics datasets through dimension reduction
... 5 • Users submit their jobs to the pipeline and the results will be shown in a visualization tool. • This chart illustrate a hybrid model with MapReduce and MPI. Twister will be an unified solution for the ...
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On generating large-scale ground truth datasets for the deduplication of bibliographic records
... 10 results being returned from Solr unless we dropped all restrictions on the presence of non duplicates in the ...the results reported in the first row of table ...difficult datasets than this by ...
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Overheating in English dwellings: comparing modelled and monitored large-scale datasets
... monitored large-scale datasets Abstract Monitoring and modelling studies of the indoor environment indicate that there are often discrepancies between simulation results and ...of large ...
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Overheating in English dwellings: comparing modelled and monitored large-scale datasets
... monitored large-scale datasets Abstract Monitoring and modelling studies of the indoor environment indicate that there are often discrepancies between simulation results and ...of large ...
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Sociodemographic differences in linkage error: An examination of four large-scale datasets
... While no high quality studies exist comparing levels of geographic remoteness, several previous studies have found lower linkage quality in younger individuals [36, 37]. The results found in this study suggests ...
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Trace: a high-throughput tomographic reconstruction engine for large-scale datasets
... accesses rely on voxels, we reorganize w and l values with respect to their corresponding voxels; thus, accessing to one of the voxel variables results in loading both w and l values into the cache. This ...
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Constructing Proximity Graphs to Explore Similarities in Large-Scale Melodic Datasets
... The results of the matching algorithm are then used to construct proximity graphs which are dis- played as part of an online interface for users to explore melodic similarities within a corpus of ...
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Constructing proximity graphs to explore similarities in large-scale melodic datasets
... The results of the matching algorithm are then used to construct proximity graphs which are dis- played as part of an online interface for users to explore melodic similarities within a corpus of ...
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