Results and Discussion: Impact of the Graph Representation
RESULTS AND DISCUSSION
... The perovskite oxides, ABO 3 , could exhibit a semiconductor behavior with a wide band gap, and induce a strong impact on the lattice of the BO 6 octahedral. For instance, Barium titanate, BaTiO 3 (BTO), has ...
Results and discussion
... In the industrialised Baltic Sea countries, the demand for organic food based on recycling is faced with problems such as strict and ineffective regulations, lack of standards for local food, lack of information app- ...
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Relative Representation Of Graph
... the graph (for e.g. bar graph or histogram), entries are shown in interval with ...a graph(following the already mentioned first six steps) which results inthe estimation of values formean, ...
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Breaking Symmetries in Graph Representation
... 4.2 Experiment 2: computing F 4 (v) In this experiment we apply a constraint-based approach to compute the number of non-isomorphic extremal graphs with v vertices. We apply a constraint solver to generate all graphs ...
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Construction of Conceptual Graph Representation of Texts
... Such semantic information has a number of possi- ble applications. One possible application is in the area of information retrieval/extraction for enhancing the search methods and for providing more precise search ...
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Introduction. Results and Discussion
... Schematic representation of synthesis pathway to achieve DNA–peptide conjugates by solution phase ...Schematic representation of studies 1, 2 and ...
Improving the presentation of search results by multipartite graph clustering of multiple reformulated queries and a novel document representation
... The loss of information could also be reduced by introducing a more flexible dictionary matching mechanism. The flexibility of matching has to be controlled in order to discourage the matching of words with very ...
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A Graph Kernel based on Jensen-Shannon Representation
... Experimental Results: In terms of the classification accu- racies, our JSMK kernel can easily outperform all the alter- native graph kernels on any ...JS representation can reflect richer ...
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Graph based text representation for document clustering
... text representation method. Traditional methods of text representation model documents as bags of words using term-frequency index document frequency ...a graph based text representation ...
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GRAPH BASED TEXT REPRESENTATION FOR DOCUMENT CLUSTERING
... text representation method. Traditional methods of text representation model documents as bags of words using term-frequency index document frequency ...a graph based text representation ...
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GRAPH BASED TEXT REPRESENTATION FOR DOCUMENT CLUSTERING
... EXPERIMENT RESULTS A series of experiments were conducted to evaluate and simulate each technique, we used several critical evaluation metrics to compare these ...
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GRAPH BASED TEXT REPRESENTATION FOR DOCUMENT CLUSTERING
... ABSTRACT The diversity of natural language for meaning representation in documents is one of the causes of information overload in information retrieval. Headline generation is an automatic text summarization ...
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GRAPH BASED TEXT REPRESENTATION FOR DOCUMENT CLUSTERING
... simulation results are performed with varied node density and node velocity to test the multiclass error rate, bandwidth, true positive rate on detecting abnormal activities, classification sensitivity rate and ...
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GRAPH BASED TEXT REPRESENTATION FOR DOCUMENT CLUSTERING
... the results of a study on the effect of applying the nonlinear phase of generalized discrete Fourier transform (GDFT) theory on the performance of partial transmit sequence (PTS) which is one of proposed ...
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GRAPH BASED TEXT REPRESENTATION FOR DOCUMENT CLUSTERING
... ABSTRACT Clustering is one of the most common automated segmentation techniques used in the fields of bioinformatics applications specifically for the microscopic image processing usage. Recently many scientists have ...
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GRAPH BASED TEXT REPRESENTATION FOR DOCUMENT CLUSTERING
... The results revealed there is a significant and positive relationship between four areas of business analytics namely plan analyse, source analyse, make analyse and delivery analyse and supply chain ...
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GRAPH BASED TEXT REPRESENTATION FOR DOCUMENT CLUSTERING
... Simulation results shows that the proposed ADRR CPU scheduling algorithm is more efficient than conventional RR algorithm also prove the correctness of the theoretical ...
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GRAPH BASED TEXT REPRESENTATION FOR DOCUMENT CLUSTERING
... Figure 3: Simulation Results on Putty Terminal. Figure 3 shows "DIP switch settings: 0×0" written in the terminal window. If the DIPswitch is changed to ON and OFF, it will change the display terminal to reflect ...
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Sequence-to-sequence modeling for graph representation learning
... Unlabeled graphs: We use several datasets developed by (Yanardag and Vishwanathan 2015) for unlabeled graph classification. COLLAB is a collaboration dataset where each network is generated from ego-networks of ...
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Graph-based representation for multiview image geometry
... B. GBR Versus JPEG2000 / HEVC First, we observe in Figs 8 and 9, that scaling the rate is not without effect and might be useless in the view synthesis context, in the sense that a small PSNR loss (0.05 dB) can already ...
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