[PDF] Top 20 Compression methods for graph algorithms
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Compression methods for graph algorithms
... Running Time For Original and Modified Algorithms Versus Number of Maximal Independent Sets.. Time per Maximal Independent Set Versus Ratio of Procedure Calls For The Original Algorithm.[r] ... See full document
229
Application of computer based simulation in gas network system using graph theory algorithms and numerical methods
... different graph theory algorithms and numerical methods will be done due to different graph theory algorithms and numerical methods will be implemented into the computer ...five ... See full document
19
Algorithms for Cost-Effective Video Compression
... There have been many attempts to apply the WT to the problem of video compression (4,5,6). The results have been encouraging showing better results than other existing codecs but not good enough to motivate the ... See full document
7
Round compression for parallel matching algorithms
... enters the main loop in Lines 2–11. The loop is executed as long as ∆ , an approximate upper bound on the maximum degree in the remaining graph, is large enough. The loop implements the idea of running multiple ... See full document
15
Methods and Algorithms of Speech Signals Processing and Compression and Their Implementation in Computer Systems
... At subjective comparison of qualities of speech signal transmission (by ear), the distortions under the usage of inclined and Adamar transformations look like broadband noise. That can be explained by their specific ... See full document
9
1. A study on graph mining algorithms to discover frequent subgraph patterns from exact graph data and uncertain graph database
... mining algorithms,they extract frequent subgraphs from graph database,required to know the relationship between the ...and methods for finding the frequent graph patterns from the given ... See full document
5
Extension of graph clustering algorithms based on SCAN method in order to target weighted graphs
... that algorithms complexity is not affected by our ...SCAN-based algorithms to be able to identify community structure in weighted graphs, to be competing with the top-rated Fast Modularity method and ... See full document
91
Graph Clustering: Algorithms, Analysis and Query Design
... many algorithms have been ...clustering algorithms, like k-means, k- median, linkage based agglomorative algorithms, partition based algorithms, spec- tral clustering, ... See full document
167
Graph Methods for Multilingual FrameNets
... learning algorithms are starved of the information needed to make smarter generalizations about the large proportion of the syntactic information about each lexical unit that is predictable from other lex- ical ... See full document
6
An Image Compression using Multilayer Wavelet Transform with 2DTCWT: A Review
... the compression ratio achieved by RLE. Even thoughthe most RLE algorithms cannot accomplish the high compression ratios of the more advanced compression methods, RLE is both ... See full document
5
Image Compression Using Wavelet and Its Advance Family
... the compression ratio achieved by RLE. Although most RLE algorithms not achieve the high compression ratios of the advanced compression methods, Run Length Encoding is easy to implement ... See full document
7
Sentence Fusion via Dependency Graph Compression
... To this end, we present a novel sentence fusion method based on dependency structure alignment and semantically and syntactically informed phrase aggregation and pruning. We address the problem in an unsupervised manner ... See full document
9
Design of Ingenious Randlet, Sinelet and Shocklets for Compression of Satellites Vibration Test Data
... efficient compression algorithm using unique wavelets, proposed to be named as randlet, sinelet, and ...the algorithms using standard transformations such as Discrete Cosine Transform, Fast Fourier ... See full document
8
Round compression for parallel matching algorithms
... In particular, using this technique, they have obtained an algorithm that can compute a 2-approximation to maximum matching in O1/δ MPC rounds, provided S, the space per machine, is sign[r] ... See full document
46
Exact Polynomial time Algorithm for the Clique Problem and P = NP for Clique Problem
... existing algorithms it is observed that some algorithms complexity depends on the maximum degree of the graph, some algorithms complexity depends on the number of edges and vertices of the ... See full document
5
Designing Efficient Parallel Algorithms for Graph Problems
... All nearest larger value All nearest smaller value Connected component Concurrent read and exclusive write Concurrent read and concurrent write Directed acyclic graph Exclusive read and [r] ... See full document
16
Approximation Algorithms for Connected Graph Factor Problems
... Approximation algorithms are commonly used for problems that are N P -hard because, un- less P = N P , it is impossible to find a deterministic algorithm that always finds the optimal solution of the instance in ... See full document
50
Graph-Theoretic Algorithms for the ``Isomorphism of Polynomials'' Problem
... three algorithms to solve QMLE in the homogeneous case. All these algorithms work by re- ducing the solution of a homogeneous (hard) instance into that of one or several inhomogeneous (easy) instances after ... See full document
24
The power of vertex sparsifiers in dynamic graph algorithms
... dynamic algorithms for planar graphs heavily depend on the duality of planar graphs [41, 26, 19] and do not seem easily generalizable to a larger class of graphs, ... See full document
15
Probabilistic Graph Programs for Randomised and Evolutionary Algorithms
... which algorithms from the areas of randomised graph algorithms and random graph generation can be described in P-GP ...randomised algorithms for checking graph connectedness ... See full document
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