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Publication Date2014, ISBN 9781107024960
"Offering a fundamental basis in kernel-based learning theory, this book covers both statistical and algebraic principles. It provides over 30 major theorems...
Support vector machines | Kernel functions | Machine learning
Support vector machines | Kernel functions | Machine learning
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2005, ISBN 0131478249, xv, 476
Book
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1988, ISBN 9780139427497, xviii, 667
Book
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1993, Prentice-Hall information and system sciences series., ISBN 9780136123262, xviii, 444
Book
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04/2014, ISBN 9781107024960, Volume 9781107024960, 618
Offering a fundamental basis in kernel-based learning theory, this book covers both statistical and algebraic principles. It provides over 30 major theorems...
Support vector machines | Kernel functions | Machine learning
Support vector machines | Kernel functions | Machine learning
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Loading Rights2000, The Kluwer international series in engineering and computer science, ISBN 9780792379744, Volume SECS 584
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Loading Rights1996, Adaptive and learning systems for signal processing, communications, and control., ISBN 0471054364, xii, 255
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2012, 2nd ed., Image processing series, ISBN 9781439830864, lvii, 769
"As multimedia applications have become part of contemporary daily life, numerous paradigm-shifting technologies in multimedia processing have emerged over the...
Multimedia systems | Image processing | Digital techniques
Multimedia systems | Image processing | Digital techniques
Book
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ACS Nano, ISSN 1936-0851, 2019, Volume 13, Issue 2, pp. 1071 - 1077
Because the visible and the infrared (IR) regions take up similar to 47% and similar to 51% of the energy in the solar spectrum (AM 1.5G standard),...
infrared light | flexible | photosynthesis | organic photovoltaic | transparent | DESIGN | MATERIALS SCIENCE, MULTIDISCIPLINARY | CHEMISTRY, PHYSICAL | NANOSCIENCE & NANOTECHNOLOGY | CHEMISTRY, MULTIDISCIPLINARY | POLYMER SOLAR-CELLS | HIGH-EFFICIENCY | ACCEPTOR
infrared light | flexible | photosynthesis | organic photovoltaic | transparent | DESIGN | MATERIALS SCIENCE, MULTIDISCIPLINARY | CHEMISTRY, PHYSICAL | NANOSCIENCE & NANOTECHNOLOGY | CHEMISTRY, MULTIDISCIPLINARY | POLYMER SOLAR-CELLS | HIGH-EFFICIENCY | ACCEPTOR
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Loading RightsJournal of Theoretical Biology, ISSN 0022-5193, 11/2014, Volume 360, pp. 34 - 45
Locating proteins within cellular contexts is of paramount significance in elucidating their biological functions. Computational methods based on knowledge...
Multi-label classification | Compact databases | Multi-location proteins | LOCATION | PLANT | SINGLE | LEARNING CLASSIFIER | GENE ONTOLOGY | PSEAAC | DATABASE | BIOLOGY | MATHEMATICAL & COMPUTATIONAL BIOLOGY | SITES | AMINO-ACID-COMPOSITION | JOHNSON-LINDENSTRAUSS | Databases, Genetic | Software | Proteins - metabolism | Internet | Models, Biological | Intracellular Space - metabolism | Proteins | Electrical engineering | Yuan (China) | Index Medicus
Multi-label classification | Compact databases | Multi-location proteins | LOCATION | PLANT | SINGLE | LEARNING CLASSIFIER | GENE ONTOLOGY | PSEAAC | DATABASE | BIOLOGY | MATHEMATICAL & COMPUTATIONAL BIOLOGY | SITES | AMINO-ACID-COMPOSITION | JOHNSON-LINDENSTRAUSS | Databases, Genetic | Software | Proteins - metabolism | Internet | Models, Biological | Intracellular Space - metabolism | Proteins | Electrical engineering | Yuan (China) | Index Medicus
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Loading RightsChemometrics and Intelligent Laboratory Systems, ISSN 0169-7439, 03/2017, Volume 162, pp. 1 - 9
Bacteria have a highly organized internal architecture at the cellular level. Identifying the subcellular localization of bacterial proteins is vital to infer...
Bacterial protein subcellular localization | Interpretable predictor | Multi-location proteins | Gram-positive | Gram-negative | LOCATION | REGRESSION | CHEMISTRY, ANALYTICAL | SINGLE | STATISTICS & PROBABILITY | GPOS | GENE ONTOLOGY | LABEL LEARNING CLASSIFIER | TEXT CLASSIFICATION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | PROJECTION | INSTRUMENTS & INSTRUMENTATION | MATHEMATICS, INTERDISCIPLINARY APPLICATIONS | DATABASE | SELECTION | AUTOMATION & CONTROL SYSTEMS | Electrical engineering | Bacterial proteins | Bacteria | Yuan (China) | Analysis
Bacterial protein subcellular localization | Interpretable predictor | Multi-location proteins | Gram-positive | Gram-negative | LOCATION | REGRESSION | CHEMISTRY, ANALYTICAL | SINGLE | STATISTICS & PROBABILITY | GPOS | GENE ONTOLOGY | LABEL LEARNING CLASSIFIER | TEXT CLASSIFICATION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | PROJECTION | INSTRUMENTS & INSTRUMENTATION | MATHEMATICS, INTERDISCIPLINARY APPLICATIONS | DATABASE | SELECTION | AUTOMATION & CONTROL SYSTEMS | Electrical engineering | Bacterial proteins | Bacteria | Yuan (China) | Analysis
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Loading RightsIEEE Transactions on Communications, ISSN 0090-6778, 11/2005, Volume 53, Issue 11, pp. 1906 - 1918
The minimum energy required to transmit one bit of information through a network characterizes the most economical way to communicate in a network. In this...
Costs | mobility | Power generation economics | wireless ad hoc networks | Routing | multicast | Mobile ad hoc networks | Wireless networks | Steiner tree | Linearity | Pricing | Network coding | Broadcasting | Polynomials | Energy efficiency | Multicast | Wireless ad hoc networks | Mobility | network coding | routing | energy efficiency | BROADCAST CHANNELS | TELECOMMUNICATIONS | ENGINEERING, ELECTRICAL & ELECTRONIC | Usage | Wireless local area networks (Computer networks) | Analysis | Studies | Operations research | Algorithms | Trees | Networks | Coding | Computer networks | Mathematical models | Multicasting | Routing (telecommunications) | Optimization
Costs | mobility | Power generation economics | wireless ad hoc networks | Routing | multicast | Mobile ad hoc networks | Wireless networks | Steiner tree | Linearity | Pricing | Network coding | Broadcasting | Polynomials | Energy efficiency | Multicast | Wireless ad hoc networks | Mobility | network coding | routing | energy efficiency | BROADCAST CHANNELS | TELECOMMUNICATIONS | ENGINEERING, ELECTRICAL & ELECTRONIC | Usage | Wireless local area networks (Computer networks) | Analysis | Studies | Operations research | Algorithms | Trees | Networks | Coding | Computer networks | Mathematical models | Multicasting | Routing (telecommunications) | Optimization
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Loading RightsJournal of Theoretical Biology, ISSN 0022-5193, 04/2013, Volume 323, pp. 40 - 48
Prediction of protein subcellular localization is an important yet challenging problem. Recently, several computational methods based on Gene Ontology (GO)...
Protein subcellular localization | Gene ontology | Support vector machines | GO terms | Term frequency | POSITIVE BACTERIAL PROTEINS | PROTEIN LOCALIZATION PREDICTION | ENSEMBLE CLASSIFIER | MULTI-LABELED CLASSIFICATION | INTERPRO | PLOC | ANNOTATION | SEQUENCE | BIOLOGY | MATHEMATICAL & COMPUTATIONAL BIOLOGY | SITES | SIMILARITY | Amino Acids - metabolism | Computational Biology - methods | Reproducibility of Results | Animals | Databases, Protein | Humans | Molecular Sequence Annotation | Software | Support Vector Machine | Subcellular Fractions - metabolism | Proteins | Amino acids | Index Medicus
Protein subcellular localization | Gene ontology | Support vector machines | GO terms | Term frequency | POSITIVE BACTERIAL PROTEINS | PROTEIN LOCALIZATION PREDICTION | ENSEMBLE CLASSIFIER | MULTI-LABELED CLASSIFICATION | INTERPRO | PLOC | ANNOTATION | SEQUENCE | BIOLOGY | MATHEMATICAL & COMPUTATIONAL BIOLOGY | SITES | SIMILARITY | Amino Acids - metabolism | Computational Biology - methods | Reproducibility of Results | Animals | Databases, Protein | Humans | Molecular Sequence Annotation | Software | Support Vector Machine | Subcellular Fractions - metabolism | Proteins | Amino acids | Index Medicus
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Loading RightsPLoS ONE, ISSN 1932-6203, 03/2014, Volume 9, Issue 3, pp. e89545 - e89545
Protein subcellular localization prediction, as an essential step to elucidate the functions in vivo of proteins and identify drugs targets, has been...
LOCATION | TAXONOMY | MULTIPLE SITES | GO TERMS | SEMANTIC SIMILARITY MEASURES | MULTIDISCIPLINARY SCIENCES | SEQUENCE | CLASSIFICATION | AMINO-ACID-COMPOSITION | FUNCTIONAL SIMILARITY | EXPRESSION | Gene Ontology - statistics & numerical data | Vocabulary, Controlled | Molecular Sequence Annotation | Computational Biology | Plant Proteins - analysis | Support Vector Machine | Plant Cells - virology | Sequence Analysis, Protein | Viruses - chemistry | Databases, Protein | Plant Cells - chemistry | Software | Plants - chemistry | Viral Proteins - analysis | Proteins | Language processing | Genes | Natural language interfaces | Mineral industry | Computational linguistics | Mining industry | Drugs | Target recognition | Similarity | Ontology | Taxonomy | Viruses | Homology | Biology | Hybridization | Data bases | Engineering | Semantics | Natural language processing | Localization | Plant viruses | Bioinformatics | Similarity measures | Support vector machines | Microscopy | Neural networks | Computer applications | Predictions | Position (location) | Alzheimers disease | Artificial intelligence | Index Medicus
LOCATION | TAXONOMY | MULTIPLE SITES | GO TERMS | SEMANTIC SIMILARITY MEASURES | MULTIDISCIPLINARY SCIENCES | SEQUENCE | CLASSIFICATION | AMINO-ACID-COMPOSITION | FUNCTIONAL SIMILARITY | EXPRESSION | Gene Ontology - statistics & numerical data | Vocabulary, Controlled | Molecular Sequence Annotation | Computational Biology | Plant Proteins - analysis | Support Vector Machine | Plant Cells - virology | Sequence Analysis, Protein | Viruses - chemistry | Databases, Protein | Plant Cells - chemistry | Software | Plants - chemistry | Viral Proteins - analysis | Proteins | Language processing | Genes | Natural language interfaces | Mineral industry | Computational linguistics | Mining industry | Drugs | Target recognition | Similarity | Ontology | Taxonomy | Viruses | Homology | Biology | Hybridization | Data bases | Engineering | Semantics | Natural language processing | Localization | Plant viruses | Bioinformatics | Similarity measures | Support vector machines | Microscopy | Neural networks | Computer applications | Predictions | Position (location) | Alzheimers disease | Artificial intelligence | Index Medicus
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Loading RightsMultimedia Tools and Applications, ISSN 1380-7501, 2/2017, Volume 76, Issue 3, pp. 3999 - 4034
Big data has many divergent types of sources, from physical (sensor/IoT) to social and cyber (web) types, rendering it messy and, imprecise, and incomplete....
Visualization | Anti-recoverability | Special Purpose and Application-Based Systems | Vectorial and Non-vectorial data analysis | Multimedia Information Systems | Noise subspace | Recoverability | EVS (Euclidean vector space) | KDCA | MDA (multiple discriminant analysis) | Computer Science | CVS (canonical vector space) | Privacy protection | Big data | Kernel approach ro Incomplete Data Analysis (KAIDA) | Computer Communication Networks | Discriminant power (DP) | Learning subspace property (LSP) | Signal subspace | Data matrix | Collaborative learning | Unsupervised learning | Dimension reduction | Data Structures, Cryptology and Information Theory | Supervised learning | Projection matrix | Discriminant distance (DD) | Component analysis | PCA (principal component analysis) | Net entropy | DCA (discriminant component analysis) | Subspace analysis | Kernel machine | COMPUTER SCIENCE, THEORY & METHODS | COMPUTER SCIENCE, INFORMATION SYSTEMS | ENGINEERING, ELECTRICAL & ELECTRONIC | COMPUTER SCIENCE, SOFTWARE ENGINEERING | Privacy | Group work in education | Privacy, Right of | Analysis | Visualization (Computers) | Information management | Team learning approach in education | Data mining | Studies | Computer science | Multimedia computer applications | Big Data | Computer privacy | Learning | Kernels | Data management | Classification | Principal components analysis
Visualization | Anti-recoverability | Special Purpose and Application-Based Systems | Vectorial and Non-vectorial data analysis | Multimedia Information Systems | Noise subspace | Recoverability | EVS (Euclidean vector space) | KDCA | MDA (multiple discriminant analysis) | Computer Science | CVS (canonical vector space) | Privacy protection | Big data | Kernel approach ro Incomplete Data Analysis (KAIDA) | Computer Communication Networks | Discriminant power (DP) | Learning subspace property (LSP) | Signal subspace | Data matrix | Collaborative learning | Unsupervised learning | Dimension reduction | Data Structures, Cryptology and Information Theory | Supervised learning | Projection matrix | Discriminant distance (DD) | Component analysis | PCA (principal component analysis) | Net entropy | DCA (discriminant component analysis) | Subspace analysis | Kernel machine | COMPUTER SCIENCE, THEORY & METHODS | COMPUTER SCIENCE, INFORMATION SYSTEMS | ENGINEERING, ELECTRICAL & ELECTRONIC | COMPUTER SCIENCE, SOFTWARE ENGINEERING | Privacy | Group work in education | Privacy, Right of | Analysis | Visualization (Computers) | Information management | Team learning approach in education | Data mining | Studies | Computer science | Multimedia computer applications | Big Data | Computer privacy | Learning | Kernels | Data management | Classification | Principal components analysis
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Loading RightsIEEE Transactions on Cloud Computing, ISSN 2168-7161, 04/2018, Volume 6, Issue 2, pp. 301 - 302
The fifteen papers in this special section focus on cloud computer security and privacy. The emerging paradigm of cloud computing provides a new way to address...
Cloud computing | Privacy | Special issues and sections | Encryption | Computer security | Computer architecture | COMPUTER SCIENCE, INFORMATION SYSTEMS | COMPUTER SCIENCE, THEORY & METHODS
Cloud computing | Privacy | Special issues and sections | Encryption | Computer security | Computer architecture | COMPUTER SCIENCE, INFORMATION SYSTEMS | COMPUTER SCIENCE, THEORY & METHODS
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Loading RightsIEEE Transactions on Signal Processing, ISSN 1053-587X, 11/2005, Volume 53, Issue 11, pp. 4091 - 4103
We introduce a novel soft antenna selection approach for multiple antenna systems through a joint design of both RF (radio frequency) and baseband signal...
Radio frequency | Degradation | Fading | Baseband | RF signals | Phase shifters | Signal processing | Frequency conversion | MIMO | Signal design | CAPACITY | TRANSMISSION | SYSTEMS | CHANNELS | DIVERSITY | CRITERION | OPTIMAL DESIGNS | COMMUNICATION | GAIN | PRECODERS | ENGINEERING, ELECTRICAL & ELECTRONIC | Phase modulation | Radar systems | Research | Design and construction | Methods | Antennas | Signal to noise ratio | Design engineering | Radio frequencies | Channels | Streams | Optimization | Elektroteknik och elektronik | Engineering and Technology | Electrical Engineering, Electronic Engineering, Information Engineering | Teknik
Radio frequency | Degradation | Fading | Baseband | RF signals | Phase shifters | Signal processing | Frequency conversion | MIMO | Signal design | CAPACITY | TRANSMISSION | SYSTEMS | CHANNELS | DIVERSITY | CRITERION | OPTIMAL DESIGNS | COMMUNICATION | GAIN | PRECODERS | ENGINEERING, ELECTRICAL & ELECTRONIC | Phase modulation | Radar systems | Research | Design and construction | Methods | Antennas | Signal to noise ratio | Design engineering | Radio frequencies | Channels | Streams | Optimization | Elektroteknik och elektronik | Engineering and Technology | Electrical Engineering, Electronic Engineering, Information Engineering | Teknik
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Loading RightsIEEE Transactions on Geoscience and Remote Sensing, ISSN 0196-2892, 10/2017, Volume 55, Issue 10, pp. 5997 - 6009
Hyperspectral images (HSIs) usually have high spectral and low spatial resolution. Conversely, multispectral images (MSIs) usually have low spectral and high...
Algorithm design and analysis | multispectral images (MSIs) | Hyperspectral images (HSIs) | spectral unmixing | Sensors | Spatial resolution | local low rank | Image reconstruction | Image fusion | Hyperspectral imaging | image fusion | SUPERRESOLUTION | IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY | RESTORATION | FORMULATION | ENGINEERING, ELECTRICAL & ELECTRONIC | GEOCHEMISTRY & GEOPHYSICS | REMOTE SENSING | NONNEGATIVE MATRIX FACTORIZATION | Usage | Algorithms | Research | Domains | Computer vision | State of the art | Image processing | Spatial discrimination | Abundance | Spectra | Resolution
Algorithm design and analysis | multispectral images (MSIs) | Hyperspectral images (HSIs) | spectral unmixing | Sensors | Spatial resolution | local low rank | Image reconstruction | Image fusion | Hyperspectral imaging | image fusion | SUPERRESOLUTION | IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY | RESTORATION | FORMULATION | ENGINEERING, ELECTRICAL & ELECTRONIC | GEOCHEMISTRY & GEOPHYSICS | REMOTE SENSING | NONNEGATIVE MATRIX FACTORIZATION | Usage | Algorithms | Research | Domains | Computer vision | State of the art | Image processing | Spatial discrimination | Abundance | Spectra | Resolution
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Loading RightsIEEE Transactions on Neural Networks and Learning Systems, ISSN 2162-237X, 02/2014, Volume 25, Issue 2, pp. 265 - 277
The multikernel least-mean-square algorithm is introduced for adaptive estimation of vector-valued nonlinear and nonstationary signals. This is achieved by...
Algorithm design and analysis | Least squares approximations | least mean square (LMS) | Estimation | vector RKHS | multiple kernels | Training | wind prediction | Adaptive sparsification | kernel methods | Approximation algorithms | Hilbert space | Kernel | COMPUTER SCIENCE, HARDWARE & ARCHITECTURE | COMPUTER SCIENCE, THEORY & METHODS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Kernel functions | Signal processing | Analysis
Algorithm design and analysis | Least squares approximations | least mean square (LMS) | Estimation | vector RKHS | multiple kernels | Training | wind prediction | Adaptive sparsification | kernel methods | Approximation algorithms | Hilbert space | Kernel | COMPUTER SCIENCE, HARDWARE & ARCHITECTURE | COMPUTER SCIENCE, THEORY & METHODS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Kernel functions | Signal processing | Analysis
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Loading RightsBMC Bioinformatics, ISSN 1471-2105, 11/2012, Volume 13, Issue 1, pp. 290 - 290
Background: Although many computational methods have been developed to predict protein subcellular localization, most of the methods are limited to the...
FUSION CLASSIFIER | SINGLE | VIRUS | BIOTECHNOLOGY & APPLIED MICROBIOLOGY | LOCATION PREDICTION | SEQUENCE | BIOCHEMICAL RESEARCH METHODS | MATHEMATICAL & COMPUTATIONAL BIOLOGY | GO | MPLOC | TOOL | Proteins - genetics | Computational Biology - methods | Algorithms | Proteins - metabolism | Databases, Protein | Genes | Intracellular Space - metabolism | Software | Support Vector Machine | Proteins | Genetic vectors | Drug discovery | Ribonucleic acid--RNA | Web sites | Cattle | Data bases | Index Medicus | Bioinformatics
FUSION CLASSIFIER | SINGLE | VIRUS | BIOTECHNOLOGY & APPLIED MICROBIOLOGY | LOCATION PREDICTION | SEQUENCE | BIOCHEMICAL RESEARCH METHODS | MATHEMATICAL & COMPUTATIONAL BIOLOGY | GO | MPLOC | TOOL | Proteins - genetics | Computational Biology - methods | Algorithms | Proteins - metabolism | Databases, Protein | Genes | Intracellular Space - metabolism | Software | Support Vector Machine | Proteins | Genetic vectors | Drug discovery | Ribonucleic acid--RNA | Web sites | Cattle | Data bases | Index Medicus | Bioinformatics
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