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transformation techniques

Analysis of Image Retrieval Using Linear Transformation Techniques

Analysis of Image Retrieval Using Linear Transformation Techniques

... linear transformation techniques Gabor-Walsh Wavelet pyramid technique and Curvelet transform 7method Feature vectors of each of the database images are extracted by applying these techniques, then ...

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Review on GMM based Voice Transformation Techniques

Review on GMM based Voice Transformation Techniques

... voice transformation method are reviewed and studied to improve quality of ...voice transformation techniques and identified problems of classical GMM techniques, problems occur due to modify ...

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A Survey on Blurred Images with Restoration and Transformation Techniques

A Survey on Blurred Images with Restoration and Transformation Techniques

... In modern science and technology, digital images gaining popularity due to increasing requirement in many fields like medical research, astronomy, remote sensing, graphical use etc. Therefore, the quality of images ...

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Iris Recognition using Wavelet Transformation Techniques

Iris Recognition using Wavelet Transformation Techniques

... Abstract-In this paper, we propose the novel techniques that we have developed to create Iris Recognition. With the help of a fusion mechanism that amalgamates both, a Canny Edge Detection scheme and a Circular ...

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Relevance of Data Transformation Techniques in Weed Science

Relevance of Data Transformation Techniques in Weed Science

... Additive nature of treatment effects and block (environmental) effects, independence of experimental errors and normality of the study variate are necessary assumptions for validity of the inferences made from ANOVA ...

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Comparisons of Image Compression Using Different Transformation Techniques

Comparisons of Image Compression Using Different Transformation Techniques

... Abstract — For image compression, it is very necessary that the selection of transform should reduce the size of the resultant data as compared to the original data set. For continuous and discrete time cases, wavelet ...

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A Video Fusion Using Wavelet Transformation Techniques

A Video Fusion Using Wavelet Transformation Techniques

... regularly being proposed to overcome the problems that have been noticed in the standard techniques. As multi resolution analysis has become one of the most popular methods in video processing, the wavelet ...

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The Utility of Data Transformation for Alignment, de novo Assembly and Classification of Short Read Virus Sequences

The Utility of Data Transformation for Alignment, de novo Assembly and Classification of Short Read Virus Sequences

... of short reads, used time series and digital signal processing data transformation techniques.. Figure 190.[r] ...

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An Assessment on Brightness Preservation Techniques over Digital Image Processing

An Assessment on Brightness Preservation Techniques over Digital Image Processing

... hybrid transformation means used combination of two transformation techniques first, curvelet transformation is used to identify the bright regions of the original image and second, discrete ...

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Enhancement of digital PID controller performance for blood glucose level of diabetic patients using disparate tuning techniques

Enhancement of digital PID controller performance for blood glucose level of diabetic patients using disparate tuning techniques

... Transformation of analog to digital PID controller using various transformation techniques like first order hold method, impulse-invariant mapping, Tustin approximation and zero[r] ...

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Volume 6: Graph Transformation and Visual Modeling Techniques 2007

Volume 6: Graph Transformation and Visual Modeling Techniques 2007

... We have chosen this approach for two reasons: First, there is no need to have a separate component that verifies that the patterns are possible to construct using the target metamodel, since adherence to the metamodel is ...

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Volume 6: Graph Transformation and Visual Modeling Techniques 2007

Volume 6: Graph Transformation and Visual Modeling Techniques 2007

... To realize the transformation from activities to state machines introduced above, we can proceed in quite different ways. For instance, one could perform a complete reachability analysis over all allowed token ...

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Volume 58: Graph Transformation and Visual Modeling Techniques 2013

Volume 58: Graph Transformation and Visual Modeling Techniques 2013

... Hypergraph transformation systems are examples of M -adhesive trans- formation systems based on M -adhesive ...graph transformation systems, the tool environment A GG allows the modelling, the simu- lation ...

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Analysis of Different Image Compression Techniques Using Transformation Method

Analysis of Different Image Compression Techniques Using Transformation Method

... Image compression is the process to represent pictorial information using fewer bits to reduce the overall size of image. Image compression techniques using transform method has been studied. Performance ...

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Volume 6: Graph Transformation and Visual Modeling Techniques 2007

Volume 6: Graph Transformation and Visual Modeling Techniques 2007

... graph transformation, we can state the conditions under which a match is valid for a given rule ...actual transformation result through a pushout of graphs with containment ...

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A Methodology for Sensitive Attribute Discrimination Prevention in Data Mining

A Methodology for Sensitive Attribute Discrimination Prevention in Data Mining

... new techniques applicable for direct or indirect discrimination protection individually or both at the same ...present techniques are effective at removing direct and indirect discrimination biases in the ...

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Volume 58: Graph Transformation and Visual Modeling Techniques 2013

Volume 58: Graph Transformation and Visual Modeling Techniques 2013

... While we focus on the semantics, others have focused on defining the syntax for a visual language with grammars. Examples include constraint multiset grammars [Mar94] and graph grammars [Min02, RS97]. In these examples, ...

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Volume 6: Graph Transformation and Visual Modeling Techniques 2007

Volume 6: Graph Transformation and Visual Modeling Techniques 2007

... The upper part (target graph) contains a meta-model that describes the possible abstract roles for a transition-based (i.e. token-holder) semantics (i.e. semantics in the style of Petri nets, UML 2.0 activity diagrams ...

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Volume 6: Graph Transformation and Visual Modeling Techniques 2007

Volume 6: Graph Transformation and Visual Modeling Techniques 2007

... and Q are immediately bisimilar (none of them has further labels leading to successor states) or non-bisimilar (one makes a step which the other is not able to mimic). If P and Q are not found immediately ...

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Sensitive Attribute Discrimination Prevention in Data Mining

Sensitive Attribute Discrimination Prevention in Data Mining

... The techniques of this method was to develop a new preprocessing discrimination prevention technique that consists of various data transformation methods includes rule protection and rule generalization ...

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