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Learning Vector Quantization

Differential privacy for learning vector quantization

Differential privacy for learning vector quantization

... machine learning methods such as learning vector quantization (LVQ) offer flexible classification tools, which represent a classification in terms of typical pro- ...

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Average Competitive Learning Vector Quantization

Average Competitive Learning Vector Quantization

... Competitive Learning Vector Quantization The CLVQ only changes one quantizer at each iteration, and thus needs a large number of simulations to achieve good ...achieve quantization errors of ...

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Statistical physics of learning vector quantization

Statistical physics of learning vector quantization

... and learning vector quantization (LVQ), Otaniemi: Helsinki ...1994, Learning and generalization in a two-layer neural network: The role of ...

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Functional relevance learning in generalized learning vector quantization

Functional relevance learning in generalized learning vector quantization

... Relevance learning in learning vector quantization is a central paradigm for classification task depending feature weighting and ...relevance learning for high-dimensional functional ...

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Divergence-based classification in learning vector quantization

Divergence-based classification in learning vector quantization

... Technikumplatz 17, 09648 Mittweida, Germany Abstract We discuss the use of divergences in dissimilarity based classification. Diver- gences can be employed whenever vectorial data consists of non-negative, po- tentially ...

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Hankel matrices for use in Learning Vector Quantization

Hankel matrices for use in Learning Vector Quantization

... In chapter 2, I presented two LVQ methods for classification. At first, I explained Generalized learning vector quantization (GLVQ) introduced by Sato and Yamada[22]. Then, I described the median ...

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Divergence-based classification in learning vector quantization

Divergence-based classification in learning vector quantization

... a b s t r a c t We discuss the use of divergences in dissimilarity-based classification. Divergences can be employed whenever vectorial data consists of non-negative, potentially normalized features. This is, for ...

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Generalized functional relevance learning vector quantization

Generalized functional relevance learning vector quantization

... Generalized learning vector quantization (GRLVQ) is a proto- type based classification algorithm with metric adaptation weighting each data dimensions according to their relevance for the ...

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Generalized functional relevance Learning Vector Quantization

Generalized functional relevance Learning Vector Quantization

... Generalized learning vector quantization (GRLVQ) is a proto- type based classification algorithm with metric adaptation weighting each data dimensions according to their relevance for the ...

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Adaptive Relevance Matrices in Learning Vector Quantization

Adaptive Relevance Matrices in Learning Vector Quantization

... metric learning scheme for LVQ classifiers which al- lows to adapt a full matrix according to the given classification ...relevance learning vector quantization algorithm such that ...

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Spectral Regularization in Generalized Matrix Learning Vector Quantization

Spectral Regularization in Generalized Matrix Learning Vector Quantization

... Millennium Institute of Astrophysics, Chile Email: pestevez@ing.uchile.cl Abstract—In this contribution we propose a new regular- ization method for the Generalized Matrix Learning Vector ...

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Pengenalan Aksara Jawamenggunakan Learning Vector Quantization (Lvq)

Pengenalan Aksara Jawamenggunakan Learning Vector Quantization (Lvq)

... “Implementasi Learning Vector Quantization (LVQ) Untuk Pengenal Pola Sidik Jari Pada Sistem Informasi Narapidana LP Wirogunan” , dalam ...Buatan Learning Vector Quantization”, ...

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Improving learning vector quantization using data  reduction

Improving learning vector quantization using data reduction

... Learning Vector Quantization (LVQ) is a supervised learning algorithm commonly used for statistical classification and pattern ...the learning process can be reduced by using data ...

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Image Contrast Enhancement using Learning Vector Quantization

Image Contrast Enhancement using Learning Vector Quantization

... Architecture of Learning Vector Quantization is similar to the architecture of Kohonan’s Self Organization Map (SOM). Here in the following diagram input is represented by x and output is represented ...

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Differentiable Kernels in Generalized Matrix Learning Vector Quantization

Differentiable Kernels in Generalized Matrix Learning Vector Quantization

... matrix learning vector quantization we are able to optimize the class visualization by inherent visualization mapping learning also in this new kernel-metric data ...

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Membuat Pixel Art Menggunakan Learning Vector Quantization

Membuat Pixel Art Menggunakan Learning Vector Quantization

... Learning Vector Quantization untuk melakukan pembelajaran kepada codebook vectors berbasis 5- dimensi ciri. Produknya adalah sebuah proses pengenalan keanggotaan titik piksel dalam sebuah bidang ...

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Convergence of Distributed Asynchronous Learning Vector Quantization Algorithms

Convergence of Distributed Asynchronous Learning Vector Quantization Algorithms

... machine learning context has re- cently received a great deal of attention (see for instance Zinkevich et ...asynchronous learning vector quantization (DALVQ for ...the quantization ...

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Pengenalan Wajah Menggunakan Learning Vector Quantization (Lvq)

Pengenalan Wajah Menggunakan Learning Vector Quantization (Lvq)

... Menggunakan Learning Vector Quantization (LVQ) (S Heranurweni) Setelah proses segmentasi adalah proses pengenalan citra, yang berguna untuk mengenali dan mendeteksi bentuk citra masukan dan citra ...

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Spoken Word Recognition Using MFCC and Learning Vector Quantization

Spoken Word Recognition Using MFCC and Learning Vector Quantization

... E. Learning Vector Quantization Learning Vector Quantization (LVQ) is a supervised version of vector quantization that can be used when we have each input data with ...

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Learning Vector Quantization: generalization ability and dynamics of competing prototypes

Learning Vector Quantization: generalization ability and dynamics of competing prototypes

... Abstract. Learning Vector Quantization (LVQ) are popular multi-class classification algorithms. Prototypes in an LVQ system represent the typical features of classes in the data. Frequently multiple ...

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