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binary matrix

Independent Pixel Block (IPB) Method Based Binary Matrix Recovery

Independent Pixel Block (IPB) Method Based Binary Matrix Recovery

... The binary images are utilized in the various kinds of the medical or non-medical ...the binary data over the computing resources, but the computing resources always carries the probability of crashing and ...

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A binary matrix factorization algorithm for protein complex prediction

A binary matrix factorization algorithm for protein complex prediction

... a binary matrix factorization (BMF) algorithm under Bayesian Ying-Yang (BYY) learning [9,10] to predict protein complexes from PPI ...the binary adjacent matrix X of the PPI interaction graph ...

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On the Size and Recovery of Submatrices of Ones in a Random Binary Matrix

On the Size and Recovery of Submatrices of Ones in a Random Binary Matrix

... of binary matrices, the simplest submatrices of interest are constant, with all entries equal to ...random binary matrix, and considers the recovery of such submatrices in the presence of ...

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LP  Solutions  of  Vectorial  Integer  Subset  Sums -  Cryptanalysis  of  Galbraith's  Binary  Matrix  LWE

LP Solutions of Vectorial Integer Subset Sums - Cryptanalysis of Galbraith's Binary Matrix LWE

... his binary matrix A and suggests to use the parameters (n, m, q) = (256, 640, 4093) that were originally proposed by Lindner and Peikert [13] for Regev’s original ...

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PQR sort: using PQR trees for binary matrix reorganization

PQR sort: using PQR trees for binary matrix reorganization

... distinct matrix organizations were provided to a user each time he/she runs the reorder- ing algorithm (for example, due to algorithm random factors), users probably would have difficulties related to their mental ...

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Mapping Intellectual Structure and Research Performance for the Nanoparticles in Pancreatic Cancer Field

<p>Mapping Intellectual Structure and Research Performance for the Nanoparticles in Pancreatic Cancer Field</p>

... co-occurrence matrix genera- tion software (BICOMB) for data extraction and matrix ...A binary matrix was constructed based on the source literature set generated by BICOMB and the highly ...

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On  the  Linear  Transformation  in  White-box  Cryptography

On the Linear Transformation in White-box Cryptography

... invertible binary matrix consisting of full-rank submatrices for carrying maximum information and maximizing information diffusion ...invertible binary matrices is supposed to prevent the key leakage ...

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An advanced scheme of compressed sensing of acceleration data for telemonintoring of human gait

An advanced scheme of compressed sensing of acceleration data for telemonintoring of human gait

... random matrix can be generated only when Gaussian random generator is integrated in hardware, thus increasing the hardware complexity and high-computational complexity [22, ...sparse binary matrix, ...

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Study on the Analysis and Optimization of Brake Disc: A Review

Study on the Analysis and Optimization of Brake Disc: A Review

... [7] F. Jarray and G. Tlig, A simulated annealing for reconstructing hv-convex binary matrix , Electronic notes in Discrete Mathematics 33 (2010) 447-454. [8] E. Barcucci, A. Del Lungo, M. Nivat and R. ...

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Artificial neural network-based approach for Mizo character recognition system

Artificial neural network-based approach for Mizo character recognition system

... into binary matrix, analyzing and mapping the binary matrix, training and testing with a set of desired Mizo characters using different types of neural networks such as back propagation ...

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LIBMF: A Library for Parallel Matrix Factorization in Shared-memory Systems

LIBMF: A Library for Parallel Matrix Factorization in Shared-memory Systems

... LIBMF supports two types of matrix factorization, real-valued matrix factorization (RVMF) and binary matrix factorization (BMF). RVMF aims to find P and Q to approxi- mate the values of ...

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Efficient Removal of Impulse Noise in Digital Images

Efficient Removal of Impulse Noise in Digital Images

... a binary matrix to indicate every pixel is corrupted or not, based on the binary decision matrix, those “uncorrupted” pixels are remain unchanged, while switching median filter with adaptive ...

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On Equivalence of Quantum Liouville Equation and Metric Compatibility Condition, a Ricci Flow Approach

On Equivalence of Quantum Liouville Equation and Metric Compatibility Condition, a Ricci Flow Approach

... data matrix and constructed Hilbert space fitted for physical measurements recording, represents a set of base vectors with associated metric tensor and entries that interpreted as observed joint density ...

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Unstructured versus structured GLRT for multi-polarization SAR change detection

Unstructured versus structured GLRT for multi-polarization SAR change detection

... covariance matrix introduced in [8] and to devise a decision rule based on the GLRT criterion directly exploiting the I/Q components of the received multi- variate complex Gaussian ...

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DEVELOPMENT AND PHYSICO-CHEMICAL EVALUATION OF MONOLITHIC MATRIX TYPE TRANSDERMAL FILMS OF AMMONIA METHACRYLATE COPOLYMER-METHOCEL AND METHACRYLIC ACID COPOLYMER-METHOCEL OF A MODEL ANTI-HYPERTENSIVE DRUG

DEVELOPMENT AND PHYSICO-CHEMICAL EVALUATION OF MONOLITHIC MATRIX TYPE TRANSDERMAL FILMS OF AMMONIA METHACRYLATE COPOLYMER-METHOCEL AND METHACRYLIC ACID COPOLYMER-METHOCEL OF A MODEL ANTI-HYPERTENSIVE DRUG

... Monolithic Matrix type of transdermal films with the use of binary blends of polymers (Methacrylic Acid Copolymer: Acrylcoat S100 & Acrylcoat L100-Methocel K15M and Ammonia Methacrylate Copolymer: ...

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Unsupervised Multi Level Non Negative Matrix Factorization Model: Binary Data Case

Unsupervised Multi Level Non Negative Matrix Factorization Model: Binary Data Case

... negative matrix factorization algorithm which is power- ful and efficient to seek the correct rank of a data ...on binary datasets adequately demonstrate the efficacy of our ...on binary dataset, ...

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Predicting binary, discrete and continued lncRNA-disease associations via a unified framework based on graph regression

Predicting binary, discrete and continued lncRNA-disease associations via a unified framework based on graph regression

... of binary lncRNA-disease associations (LDA), which cannot reflect and reveal many biological facts or knowledge, such as the number of pro- teins involved in lncRNA-disease associations and how strong LDAs ...of ...

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Binary classification algorithms

Binary classification algorithms

...  Logistic regression – part of the Analytical group. Some of the algorithms can be applied to classification of more than two classes, but the current article is focused on the binary classification aspect. The ...

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Extraction of Texture Information from Fuzzy Run Length Matrix

Extraction of Texture Information from Fuzzy Run Length Matrix

... length matrix for texture feature extraction [1]. The run length matrix proposed by Galloway has not been widely used as an effective texture classification and analysis method, because these run length ...

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Implementing Data Security with an Approach Based On the Transformation of a Matrix with Rows and Columns

Implementing Data Security with an Approach Based On the Transformation of a Matrix with Rows and Columns

... In this algorithm encryption and decryption are performed on binary bits. All data which is under stable by the computer is finally converted into binary bits. So it can be implemented for any data type ...

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