efficient vector quantization algorithm
Singular value decomposition based classified vector quantization image compression method using discrete sine transform
... An efficient coding method for accurate reconstruction of still images at low bit-rates was ...classification algorithm uses only one threshold value on the magnitude of the gradient across the image block ...
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A NOVEL APPROACH OF VECTOR QUANTIZATION USING MODIFIED PARTICLE SWARM OPTIMIZATION ALGORITHM FOR GENERATING EFFICIENT CODEBOOK
... the efficient evolutionary computing ...inspired algorithm originally proposed by Kennedy and ...Genetic Algorithm(GA).It is stochastic algorithm which produces the optimum solution ...
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Neuro Wavelet based Efficient Image Compression using Vector Quantization
... compression algorithm which integrates the features of both wavelet transform and Radial Basis Function Neural Network along with vector ...and quantization techniques are ...are vector ...
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Development Of Speech Recognition System: Using Combination Of Vector Quantization And Linde-Buzo-Gray Algorithm
... Broad range of speech recognition models on various languages for different speech modes has been implemented by various researchers. Automatic Speech Recognition is a technique of representing modulating function where ...
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A Combined Rough Sets–K-means Vector Quantization Model for Arabic Speech Recognizer
... - Vector quantization (VQ), is considered an efficient data reduction technique, and is used as a preprocessing stage in speech recognition ...for vector quantization are purely ...
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Image Compression using Neural Network
... compression algorithm is needed that will reduce the amount of Image to be transmitted, stored and analyzed, but without losing the information ...and efficient way to achieve vector ...such ...
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Efficient Vector Quantization for Fast Approximate Nearest Neighbor Search
... Iterative quantization (ITQ) [33] is an efficient learning-to-hash algorithm, which as- signs every database vector to a closest (in Euclidean terms) vertex of an 𝑀- dimensional hypercube (𝑀 ≤ ...
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An Analysis of Vector Quantization Based Image Compression Approaches
... based vector quantization and set partitioning in hierarchical trees (SPIHT) coding method for image ...genetic algorithm (OSGD-GA) and also obtain contextual constraints on membership ...co ...
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Efficient Image Compression Technique Based On Vector Quantization Using Social Spider Optimization Algorithm
... LBG algorithm for codebook ...SS algorithm to satisfy the need of the global convergence and the characteristics of global convergence ...SS algorithm has the property of searching local as well as ...
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Vector Quantization of Microarray Gene Expression Data
... The data mining methods are used to find human-interpretable patterns that describe the data, for example, clustering, associations and classification. Techniques drawn from various other fields such as artificial ...
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Speaker Identification by using Vector Quantization
... Fig. 3 shows the generation of 4 code vector codebook for the 16 dimensional vector space using the LBG algorithm. The code vectors thus formed are the feature vectors used in the training phase. ...
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Learning vector quantization for proximity data
... The work as conducted in this thesis also opens the way towards a number of future perspectives. Large parts of this project have been conducted under the umbrella of the DFG research grant DiDi – Discriminative ...
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Distance learning in discriminative vector quantization
... Against this background, researchers have proposed variants of LVQ which can di- rectly be derived from an underlying cost function which is optimized during train- ing e.g. by means of a stochastic gradient ...
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Differential privacy for learning vector quantization
... useful algorithm always exhibits some degree of sensitivity to its ...learning algorithm in settings where there exists a mismatch of the prototypes and the underlying modality of the data distribution, the ...
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Image Compression Using Different Vector Quantization Algorithms and Its Comparison
... So, vector quantization is a novel method for lossy image compression that includes codebook design, encoding and decoding ...(Vector quantization- Linde, Buzo and Gray algorithm), ...
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Multiple-Description Multistage Vector Quantization
... be identical (i.e., a repetition code). This is the case in the first stage of System B and System C. Also note that the rest of the stages in these two systems have rate 0 (codebook size of 1) for one of the ...
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Parallel Implementation of Uniformization to Compute the Transient Solution of Stochastic Automata Networks
... 3. Parallel implementation. Our goal is the parallelization of the computation algorithm of the vector Π(t) based on relation (2.9). Taking into account the quantity of data (matrices and vectors) to be ...
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PERFORMANCE ANALYSIS OF BTC-PF ALGORITHM FOR IMAGE COMPRESSIONPriya Nagar1, Prof. A.C.Tiwari2, Prof. Mukesh Patidar3
... BTC Algorithm has been proposed, termed as BTC-PF ...BTC-PF algorithm technique has been applied to Gray Scale image (Reference Image as well as Real Image) each contains 255×255 ...BTC algorithm as ...
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Survey on the Most Efficient Machine Learning Algorithm to Predict the Future Electricity Consumption And Production
... [3] to solve the difficult problem of accurate load forecasting this paper proposed a methodology which is based on the deep neural networks to be specific this method uses convolutions on historical loads which is ...
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Vector Quantization of True-Color Images
... the sum the of Mathematically, dimensions the product code product: m c = A C {all vectors = j=1 For with if example, rate R/k k-dimensional The product the design is a code x2'-, scalar[r] ...
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