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Split and merge

Prediction of Co-Morbid Conditions Associated with Diabetes using Split and Merge Algorithm

Prediction of Co-Morbid Conditions Associated with Diabetes using Split and Merge Algorithm

... (3) Implementing a new association rule summarization algorithm named as SAM (Split and Merge algorithm) In the first phase, we have used the attribute selection and attribute weightage method to obtain the ...

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Secure File Transmission using Split & Merge Technique

Secure File Transmission using Split & Merge Technique

... the split and merge modules are ...The split size of the file chunk can be specified by the ...as split chunks of a readable ...the split chunks for security purpose and now wishes to ...

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Particle Gibbs Split-Merge Sampling for Bayesian Inference in Mixture Models

Particle Gibbs Split-Merge Sampling for Bayesian Inference in Mixture Models

... PMCMC methods allow us to use SMC ideas in a principled way within MCMC schemes. We will focus here on the PG sampler and show how one can use this methodology to obtain an efficient MCMC kernel K targeting the ...

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Unsupervised Semantic Role Induction via Split Merge Clustering

Unsupervised Semantic Role Induction via Split Merge Clustering

... of split and merge operations in order to transduce an initial clustering into a final clustering of better qual- ...ity. Split operations leverage syntactic cues so as to create “pure” clusters that ...

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Split and Merge Strategies for Solving Uncertain Equations Using Affine Arithmetic

Split and Merge Strategies for Solving Uncertain Equations Using Affine Arithmetic

... to split the parameter ranges, calculate the solutions separately and merge them ...is split. To minimize the additional runtime sev- eral split and merge strategies are proposed and ...

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Split or Merge: Which is Better for Unsupervised RST Parsing?

Split or Merge: Which is Better for Unsupervised RST Parsing?

... a split score for splitting a text span into two smaller spans is given for each candidate splitting point in the text span, we can build an RST tree by re- cursively splitting a text span with the best can- ...

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Scaling-Up Split-Merge MCMC with Locality Sensitive Sampling (LSS)

Scaling-Up Split-Merge MCMC with Locality Sensitive Sampling (LSS)

... the Split-Merge MCMC algo- rithm (Jain and Neal 2004; Wang and Russell 2015) which is particularly useful for problems where an MCMC state can be thought of as consisting of a number of components (or ...a ...

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The ZX calculus is a language for surface code lattice surgery

The ZX calculus is a language for surface code lattice surgery

... We have described a tight connection between the ZX calculus and lattice surgery. Splitting and merging can be written in terms of degree-3 nodes (including correction operations if necessary); realised as Kraus ...

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Rate-distortion optimization of HEVC using Lagrangian multiplier

Rate-distortion optimization of HEVC using Lagrangian multiplier

... Byeong-Doo Choi , Sung-JeaKo, “Split-and-Merge Based Block Partitioning for High Efficiency Image Coding” ieee transactions on circuits and systems for video technology. Ro[r] ...

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Automated Car Number Plate Detection System to Detect Far Number Plates

Automated Car Number Plate Detection System to Detect Far Number Plates

... utilizing split and merge having a few confinements for which pattern based object segmentation utilizing split and merge (PSM) was proposed to conquer the issues of essential split and ...

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Sparse Multi Scale Grammars for Discriminative Latent Variable Parsing

Sparse Multi Scale Grammars for Discriminative Latent Variable Parsing

... We introduce multi-scale grammars, in which some productions reference fine categories, while others reference coarse categories (see Figure 2). We use the general framework of hidden variable CRFs (Lafferty et al., ...

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An Efficient Methodology To Sort Large Volume Of Data

An Efficient Methodology To Sort Large Volume Of Data

... the merge sort restricts itself into a sub file of sizes 1, 2, 4, ...many split merge phases based on the number of elements ...unnecessary split and merge process is carried out if a ...

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Generation of Compound Words in Statistical Machine Translation into Compounding Languages

Generation of Compound Words in Statistical Machine Translation into Compounding Languages

... An indication of how many compounds there are in a text is the number of long words. In the reference text there are 231 word types with at least 20 characters and 1,178 word types with at least 15 characters, which we ...

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A Novel Approach for Inferior Alveolar Nerve (IAN) Injury Identification Using Panoramic Radiographic Image

A Novel Approach for Inferior Alveolar Nerve (IAN) Injury Identification Using Panoramic Radiographic Image

... use of criterion based on the variation among the maximum and minimum pixel values in the region tends to perform like an edge detection algorithm. The edges are only areas where huge variation in pixel data tends to ...

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Data-Driven Reversible Jump for QTL Mapping

Data-Driven Reversible Jump for QTL Mapping

... The merge movement of consecutive QTLs is efficient un- der tested conditions to avoid identification of false ...are split between the two QTLs and bias the estimate of the number of QTLs and their ...

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Multicore structures and the splitting and merging of eddies  in global oceans from satellite altimeter data

Multicore structures and the splitting and merging of eddies in global oceans from satellite altimeter data

... Generally, split- ting or merging events can change the eddy scale, amplitude, and EKE ...to split into two eddies with different intensities, with the larger one being on average almost twice the smaller ...

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Lot streaming and batch scheduling: splitting and grouping jobs to improve production efficiency

Lot streaming and batch scheduling: splitting and grouping jobs to improve production efficiency

... MIBI: multi-start with best improve descent in an insert neighbourhood, MSBI: multi-start with best improve descent in a swap neighborhood, MS-M: multi-start descent in the split-merge n[r] ...

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A Parallel SRM Feature Extraction Algorithm for Steganalysis Based on GPU Architecture

A Parallel SRM Feature Extraction Algorithm for Steganalysis Based on GPU Architecture

... Co-occurrence matrix calculation takes over most of the time in the whole SRM extraction, and is also the most difficult to parallel processing. In Section 5.3, we propose a split-merge strategy to ...

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PP 2007 12: 
  A Generic Approach to Coalition Formation

PP 2007 12: A Generic Approach to Coalition Formation

... Note that both rules use the comparison relation ‘locally’, by focusing on the coalitions that take part and result from the merge resp. split. In this paper we are interested in finding conditions that ...

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Title: A Comparative Study of Various Clustering Algorithms in Data Mining

Title: A Comparative Study of Various Clustering Algorithms in Data Mining

... The merging or splitting stops once the desired number of clusters has been formed. Typically, each iteration involves merging or splitting a pair of clusters based on a certain criterion, often measuring the proximity ...

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