Alexandros Iosifidis

According to our database1, Alexandros Iosifidis
  • authored at least 104 papers between 2010 and 2018.
  • has a "Dijkstra number"2 of four.

Timeline

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Bibliography

2018
Probabilistic saliency estimation.
Pattern Recognition, 2018

2017
Class-Specific Kernel Discriminant Analysis Revisited: Further Analysis and Extensions.
IEEE Trans. Cybernetics, 2017

Multi-View Nonparametric Discriminant Analysis for Image Retrieval and Recognition.
IEEE Signal Process. Lett., 2017

Big Media Data Analysis.
Sig. Proc.: Image Comm., 2017

Multilinear class-specific discriminant analysis.
Pattern Recognition Letters, 2017

Learning graph affinities for spectral graph-based salient object detection.
Pattern Recognition, 2017

One-Class Classification Based on Extreme Learning and Geometric Class Information.
Neural Processing Letters, 2017

CNN-based edge filtering for object proposals.
Neurocomputing, 2017

Progressive Operational Perceptrons.
Neurocomputing, 2017

Approximate kernel extreme learning machine for large scale data classification.
Neurocomputing, 2017

On the comparison of random and Hebbian weights for the training of single-hidden layer feedforward neural networks.
Expert Syst. Appl., 2017

The effect of automated taxa identification errors on biological indices.
Expert Syst. Appl., 2017

Multilinear Class-Specific Discriminant Analysis.
CoRR, 2017

Improving Efficiency in Convolutional Neural Network with Multilinear Filters.
CoRR, 2017

Tensor Representation in High-Frequency Financial Data for Price Change Prediction.
CoRR, 2017

Neural Class-Specific Regression for face verification.
CoRR, 2017

Benchmark Dataset for Mid-Price Prediction of Limit Order Book data.
CoRR, 2017

Forecasting Stock Prices from the Limit Order Book Using Convolutional Neural Networks.
Proceedings of the 19th IEEE Conference on Business Informatics, 2017

Generalized model of biological neural networks: Progressive operational perceptrons.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Class-specific kernel discriminant analysis based on Cholesky decomposition.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Using deep learning to detect price change indications in financial markets.
Proceedings of the 25th European Signal Processing Conference, 2017

Time-series classification using neural Bag-of-Features.
Proceedings of the 25th European Signal Processing Conference, 2017

Pyramid encoding for fast additive quantization.
Proceedings of the 25th European Signal Processing Conference, 2017

2016
Visual Voice Activity Detection in the Wild.
IEEE Trans. Multimedia, 2016

Scaling Up Class-Specific Kernel Discriminant Analysis for Large-Scale Face Verification.
IEEE Trans. Information Forensics and Security, 2016

Graph Embedded Extreme Learning Machine.
IEEE Trans. Cybernetics, 2016

Graph Embedded One-Class Classifiers for media data classification.
Pattern Recognition, 2016

Nyström-based approximate kernel subspace learning.
Pattern Recognition, 2016

Multi-class Support Vector Machine classifiers using intrinsic and penalty graphs.
Pattern Recognition, 2016

Exploiting stereoscopic disparity for augmenting human activity recognition performance.
Multimedia Tools Appl., 2016

Generalized Multi-view Embedding for Visual Recognition and Cross-modal Retrieval.
CoRR, 2016

Probabilistic Saliency Estimation.
CoRR, 2016

Hierarchical class-specific kernel discriminant analysis for face verification.
Proceedings of the 2016 Visual Communications and Image Processing, 2016

Kernel subclass support vector description for face and human action recognition.
Proceedings of the First International Workshop on Sensing, 2016

Laplacian one class extreme learning machines for human action recognition.
Proceedings of the 18th IEEE International Workshop on Multimedia Signal Processing, 2016

Prototype-based class-specific nonlinear subspace learning for large-scale face verification.
Proceedings of the Sixth International Conference on Image Processing Theory, 2016

Multi-modal subspace learning with dropout regularization for cross-modal recognition and retrieval.
Proceedings of the Sixth International Conference on Image Processing Theory, 2016

Object proposals using CNN-based edge filtering.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Learned vs. engineered features for fine-grained classification of aquatic macroinvertebrates.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Data Enrichment in Fine-Grained Classification of Aquatic Macroinvertebrates.
Proceedings of the 2nd ICPR Workshop on Computer Vision for Analysis of Underwater Imagery, 2016

Salient object segmentation based on linearly combined affinity graphs.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

One class classification applied in facial image analysis.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Combining multi-class maximum margin classification with linear discriminant analysis for human action recognition.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Supervised subspace learning based on deep randomized networks.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Maximum margin binary classifiers using intrinsic and penalty graphs.
Proceedings of the 24th European Signal Processing Conference, 2016

A review of approximate methods for kernel-based big media data analysis.
Proceedings of the 24th European Signal Processing Conference, 2016

Graph-regularized multi-class support vector machines for face and action recognition.
Proceedings of the 24th European Signal Processing Conference, 2016

2015
Class-Specific Reference Discriminant Analysis With Application in Human Behavior Analysis.
IEEE Trans. Human-Machine Systems, 2015

Sparse extreme learning machine classifier exploiting intrinsic graphs.
Pattern Recognition Letters, 2015

On the kernel Extreme Learning Machine classifier.
Pattern Recognition Letters, 2015

On the kernel Extreme Learning Machine speedup.
Pattern Recognition Letters, 2015

DropELM: Fast neural network regularization with Dropout and DropConnect.
Neurocomputing, 2015

Distance-based human action recognition using optimized class representations.
Neurocomputing, 2015

Extreme learning machine based supervised subspace learning.
Neurocomputing, 2015

Human Action Recognition Based on Multi-View Regularized Extreme Learning Machine.
International Journal on Artificial Intelligence Tools, 2015

Large-Scale Classification by an Approximate Least Squares One-Class Support Vector Machine Ensemble.
Proceedings of the 2015 IEEE TrustCom/BigDataSE/ISPA, 2015

Nearest Class Vector Classification for Large-Scale Learning Problems.
Proceedings of the 2015 IEEE TrustCom/BigDataSE/ISPA, 2015

Class-Specific Nonlinear Projections Using Class-Specific Kernel Spaces.
Proceedings of the 2015 IEEE TrustCom/BigDataSE/ISPA, 2015

Regularized Extreme Learning Machine for Large-scale Media Content Analysis.
Proceedings of the INNS Conference on Big Data 2015, 2015

Visual voice activity detection based on spatiotemporal information and bag of words.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Large-scale nonlinear facial image classification based on approximate kernel Extreme Learning Machine.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Merging linear discriminant analysis with Bag of Words model for human action recognition.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Fast Kernel Matrix Computation for Big Data Clustering.
Proceedings of the International Conference on Computational Science, 2015

Enhancing ELM-based Facial Image Classification by Exploiting Multiple Facial Views.
Proceedings of the International Conference on Computational Science, 2015

Exploiting subclass information in one-class support vector machine for video summarization.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Enhancing class discrimination in Kernel Discriminant Analysis.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Class-specific nonlinear subspace learning based on optimized class representation.
Proceedings of the 23rd European Signal Processing Conference, 2015

A Bayesian approach for extreme learning machine-based subspace learning.
Proceedings of the 23rd European Signal Processing Conference, 2015

2014
Discriminant Bag of Words based representation for human action recognition.
Pattern Recognition Letters, 2014

Kernel Reference Discriminant Analysis.
Pattern Recognition Letters, 2014

Regularized extreme learning machine for multi-view semi-supervised action recognition.
Neurocomputing, 2014

Multi-view Regularized Extreme Learning Machine for Human Action Recognition.
Proceedings of the Artificial Intelligence: Methods and Applications, 2014

Person de-identification in activity videos.
Proceedings of the 37th International Convention on Information and Communication Technology, 2014

Exploiting Local Class Information in Extreme Learning Machine.
Proceedings of the NCTA 2014 - Proceedings of the International Conference on Neural Computation Theory and Applications, part of IJCCI 2014, Rome, Italy, 22, 2014

Semi-supervised Classification of Human Actions Based on Neural Networks.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Human action recognition based on bag of features and multi-view neural networks.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Minimum Variance Extreme Learning Machine for human action recognition.
Proceedings of the IEEE International Conference on Acoustics, 2014

Human action recognition in stereoscopic videos based on bag of features and disparity pyramids.
Proceedings of the 22nd European Signal Processing Conference, 2014

Stereoscopic video description for human action recognition.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence for Multimedia, 2014

Video summarization based on Subclass Support Vector Data Description.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence for Engineering Solutions, 2014

2013
On the Optimal Class Representation in Linear Discriminant Analysis.
IEEE Trans. Neural Netw. Learning Syst., 2013

Multidimensional Sequence Classification Based on Fuzzy Distances and Discriminant Analysis.
IEEE Trans. Knowl. Data Eng., 2013

Minimum Class Variance Extreme Learning Machine for Human Action Recognition.
IEEE Trans. Circuits Syst. Video Techn., 2013

Multi-view action recognition based on action volumes, fuzzy distances and cluster discriminant analysis.
Signal Processing, 2013

Dynamic action recognition based on dynemes and Extreme Learning Machine.
Pattern Recognition Letters, 2013

Learning sparse representations for view-independent human action recognition based on fuzzy distances.
Neurocomputing, 2013

Person identification from actions based on dynemes and discriminant learning.
Proceedings of the 1st International Workshop on Biometrics and Forensics, 2013

View-independent human action recognition based on multi-view action images and discriminant learning.
Proceedings of the 11th IVMSP Workshop: 3D Image/Video Technologies and Applications, 2013

Representative Class Vector Clustering-Based Discriminant Analysis.
Proceedings of the Ninth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, 2013

Multi-view Human Action Recognition: A Survey.
Proceedings of the Ninth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, 2013

Active classification for human action recognition.
Proceedings of the IEEE International Conference on Image Processing, 2013

Dynamic action classification based on iterative data selection and Feedforward Neural networks.
Proceedings of the 21st European Signal Processing Conference, 2013

Neural Networks for Digital Media Analysis and Description.
Proceedings of the Engineering Applications of Neural Networks, 2013

Person identification from actions based on Artificial Neural Networks.
Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Biometrics and Identity Management, 2013

2012
View-Invariant Action Recognition Based on Artificial Neural Networks.
IEEE Trans. Neural Netw. Learning Syst., 2012

Activity-Based Person Identification Using Fuzzy Representation and Discriminant Learning.
IEEE Trans. Information Forensics and Security, 2012

Multi-view human movement recognition based on fuzzy distances and linear discriminant analysis.
Computer Vision and Image Understanding, 2012

Neural representation and learning for multi-view human action recognition.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Discriminant action representation for view-invariant person identification.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Eating and drinking activity recognition based on discriminant analysis of fuzzy distances and activity volumes.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Multi-view human action recognition under occlusion based on Fuzzy distances and neural networks.
Proceedings of the 20th European Signal Processing Conference, 2012

2011
Person specific activity recognition using fuzzy learning and Discriminant Analysis.
Proceedings of the 19th European Signal Processing Conference, 2011

Learning Human Identity Using View-Invariant Multi-view Movement Representation.
Proceedings of the Biometrics and ID Management, 2011

2010
Movement recognition exploiting multi-view information.
Proceedings of the 2010 IEEE International Workshop on Multimedia Signal Processing, 2010


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