Multiple kernel learning, conic duality, and the SMO algorithm

Nonlinear Programming

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Practical Aspects of the Moreau--Yosida Regularization: Theoretical Preliminaries

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Cost-conscious multiple kernel learning

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Regularizing multiple kernel learning using response surface methodology

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Signature verification based on fusion of on-line and off-line kernels

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Fuzzy clustering with Multiple Kernels

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Generic Proposal Evaluator: A Lazy Learning Strategy Toward Blind Proposal Quality Assessment

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Geometrically invariant color, shape and texture features for object recognition using multiple kernel learning classification approach

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Supervised learning and anti-learning of colorectal cancer classes and survival rates from cellular biology parameters

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Multiple kernel learning

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Kernel machines with two layers and multiple kernel learningPreprint

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A Convex Feature Learning Formulation for Latent Task Structure DiscoveryPreprint

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A Scaled Gradient Projection Method for Bayesian Learning in Dynamical Systems

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Per-Cluster Ensemble Kernel Learning for Multi-Modal Image Clustering With Group-Dependent Feature Selection

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Maximum-entropy-based multiple kernel fuzzy c-means clustering algorithm

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Utilizing Related Samples to Enhance Interactive Concept-Based Video Search

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Fredholm Multiple Kernel Learning for Semi-Supervised Domain Adaptation

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Learning adaptive contrast combinations for visual saliency detection

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A three-level Multiple-Kernel Learning approach for soil spectral analysis

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MetaKernel: Learning Variational Random Features With Limited Labels

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MMExit: Enabling Fast and Efficient Multi-modal DNN Inference with Adaptive Network Exits

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Combining Multiple Kernels by Augmenting the Kernel Matrix

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Multiple empirical kernel learning with locality preserving constraint

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Metric Learning as Convex Combinations of Local Models with Generalization Guarantees

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On the Impact of Regularization Variation on Localized Multiple Kernel Learning

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Multiple Organ Localization in CT Image Using Triple-Branch Fully Convolutional Networks

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Key issues of support vector machines and future prospects

Yuanhai, S., Nai-yang, D., Lingwei, H., & Liming, L. (2020) · Scientia Sinica Mathematica · doi:10.1360/ssm-2020-0015 · Cited by 14

Machine learning for financial market prediction

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Regularization Strategies and Empirical Bayesian Learning for MKLPreprint

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Kernel-based testing for single-cell differential analysis

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Approximating Parameterized Convex Optimization Problems

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Graph-based multimodal semi-supervised image classification

Xie, W., Lu, Z., Peng, Y., & Xiao, J. (2014) · Neurocomputing · doi:10.1016/j.neucom.2013.12.052 · Cited by 13

Crude Oil Spot Price Forecasting Based on Multiple Crude Oil Markets and Timeframes

Deng, S., & Sakurai, A. (2014) · Energies · doi:10.3390/en7052761 · Cited by 13

Multiple kernel locality-constrained collaborative representation-based discriminant projection for face recognition

Zheng, Z., Sun, H., & Zhang, G. (2018) · Neurocomputing · doi:10.1016/j.neucom.2018.08.032 · Cited by 13

Gaussian Process-based prediction of memory performance and biomarker status in ageing and Alzheimer’s disease—A systematic model evaluation

Nemali, A., Vockert, N., Berron, D., Maaß, A., Bernal, J., Yakupov, R., Peters, O., Gref, D., Cosma, N. C., Preis, L., et al. (2023) · Medical Image Analysis · doi:10.1016/j.media.2023.102913 · Cited by 13

A Method for Metric Learning with Multiple-Kernel Embedding

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Multiple Classifier Systems in Texton-Based Approach for the Classification of CT Images of Lung

Gangeh, M. J., Sørensen, L., Shaker, S. B., Kamel, M. S., & de Bruijne, M. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-18421-5_15 · Cited by 13

Optimization-Based Extreme Learning Machine with Multi-kernel Learning Approach for Classification

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Large-Scale Kernel-Based Feature Extraction via Low-Rank Subspace Tracking on a Budget

Sheikholeslami, F., Berberidis, D., & Giannakis, G. B. (2018) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2018.2802446 · Cited by 13

DWS-MKL: Depth-width-scaling multiple kernel learning for data classification

Wang, T., Su, H., & Li, J. (2020) · Neurocomputing · doi:10.1016/j.neucom.2020.06.039 · Cited by 13

Semi-supervised classification with Laplacian multiple kernel learning

Yang, T., & Fu, D. (2014) · Neurocomputing · doi:10.1016/j.neucom.2014.03.039 · Cited by 13

Learning Translation Invariant Kernels for Classification

Ghiasi-Shirazi, K., Safabakhsh, R., & Shamsi, M. (2010) · Cited by 13

Protein interaction sentence detection using multiple semantic kernels

Polajnar, T., Damoulas, T., & Girolami, M. (2011) · Journal of Biomedical Semantics · doi:10.1186/2041-1480-2-1 · Cited by 13

Hand posture recognition based on heterogeneous features fusion of multiple kernels learning

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Combining Pattern Recognition Modalities at the Sensor Level Via Kernel Fusion

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Multiple Gaussian Process ModelsPreprint

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Positive Definite Kernels in Machine LearningPreprint

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Online Multiple Kernel Learning for Structured PredictionPreprint

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An Inequality with Applications to Structured Sparsity and Multitask Dictionary LearningPreprint

Maurer, A., Pontil, M., & Romera‐Paredes, B. (2014) · arXiv (Cornell University) · doi:10.48550/arxiv.1402.1864 · Cited by 13

Selecting the Most Relevant Brain Regions to Classify Children with Developmental Dyslexia and Typical Readers by Using Complex Magnocellular Stimuli and Multiple Kernel Learning

Mascheretti, S., Peruzzo, D., Andreola, C., Villa, M., Ciceri, T., Trezzi, V., Marino, C., & Arrigoni, F. (2021) · Brain Sciences · doi:10.3390/brainsci11060722 · Cited by 13

Unifying Framework for Fast Learning Rate of Non-Sparse Multiple Kernel Learning

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An Off-the-shelf Approach to Authorship Attribution

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Aggregating the temporal coherent descriptors in videos using multiple learning kernel for action recognition

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Deep multiple multilayer kernel learning in core vector machines

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Higher-level feature combination via multiple kernel learning for image classification

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Learning the Optimal Neighborhood Kernel for Classification

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Separable Approximate Optimization of Support Vector Machines for Distributed Sensing

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Multiple Kernel Machines Using Localized Kernels

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Pathway aggregation for survival prediction via multiple kernel learning

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Parameter selection method for support vector machine based on adaptive fusion of multiple kernel functions and its application in fault diagnosis

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Bi-sparse optimization-based least squares regression

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Conic optimization for control, energy systems, and machine learning: Applications and algorithms

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Bayesian and nonparametric methods for system identification and model selection

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A kernel learning framework for domain adaptation learning

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Feature Selection for Density Level-Sets

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PAC-Bayesian aggregation and multi-armed banditsPreprint

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The Geometry of Constrained Structured Prediction: Applications to Inference and Learning of Natural Language Syntax

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Probabilistic Sensor Fusion for Ambient Assisted LivingPreprint

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Statistical Machine Learning and Data Analytic Methods for Risk and InsurancePreprint

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OM-2: An online multi-class Multi-Kernel Learning algorithm Luo Jie

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Large-margin multi-view Gaussian process

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A pre-selecting base kernel method in multiple kernel learning

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Sparse multiple kernels for impulse response estimation with majorization minimization algorithms

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A Multiple-Mapping Kernel for Hyperspectral Image Classification

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Memory recall based video search

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Eigenvalues perturbation of integral operator for kernel selection

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Multi-Kernel Multi-Label Learning with Max-Margin Concept Network

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Incremental support vector machine algorithm based on multi-kernel learning

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Birds of a feather flock together: Visual representation with scale and class consistency

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Texton-based analysis of paintings

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Multiple instance learning based on positive instance selection and bag structure construction

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Weighted kernel Fisher discriminant analysis for integrating heterogeneous data

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Violent Scenes Detection Using Mid-Level Violence Clustering

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Linearithmic Time Sparse and Convex Maximum Margin Clustering

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Trusting Skype: Learning the Way People Chat for Fast User Recognition and Verification

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Simultaneous similarity learning and feature-weight learning for document clustering

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A Divide-and-Conquer Method for Scalable Low-Rank Latent Matrix Pursuit

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Feature Combination via Clustering

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Malignancy characterization of hepatocellular carcinoma using hybrid texture and deep features

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Subjective Saliency Model Driven by Multi-Cues Stimulus for Airport Detection

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Arecanut grading based on three sigma controls and SVM

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Scaling the kernel function based on the separating boundary in input space: A data-dependent way for improving the performance of kernel methods

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Averaging of kernel functions

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Multiple Kernel Learning Clustering with an Application to Malware

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Low-rank decomposition meets kernel learning: A generalized Nyström method

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Support Vector Machine to Synthesise Kernels

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Multiple kernel learning from sets of partially matching image features

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Parameter-Free Spectral Kernel LearningPreprint

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A keyword-topic model for contextual advertising

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Laplacian Spectrum Learning

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Training Lp norm multiple kernel learning in the primal

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A procedure of adaptive kernel combination with kernel-target alignment for object classification

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Quadratic, Semidefinite, and Second-Order Cone Programming

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Multi-target linear-quadratic control problem and second-order cone programming

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Nonconvex Quadratic Programming

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An Improved Algorithm for Indefinite Quadratic Programming

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On improving convex quadratic programming relaxation for the quadratic assignment problem

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