Iosif, E.
* 2015: Predicting audio-visual salient events based on visual, audio and text modalities for movie summarization
Iosifescu Enescu, C.M.[Cristina M.]
* 2017: Cloud-Based Architectures for Auto-Scalable Web Geoportals towards the Cloudification of the GeoVITe Swiss Academic Geoportal
Includes: Iosifescu Enescu, C.M.[Cristina M.] Iosifescu-Enescu, C.M.[Cristina M.]
Iosifescu Enescu, I.[Ionut]
* 2016: method to visualize the evolution of multiple interacting spatial systems, A
* 2017: Cloud-Based Architectures for Auto-Scalable Web Geoportals towards the Cloudification of the GeoVITe Swiss Academic Geoportal
Includes: Iosifescu Enescu, I.[Ionut] Iosifescu-Enescu, I.[Ionut]
Iosifidis, A.[Alexandros]
* 2012: Discriminant action representation for view-invariant person identification
* 2012: Multi-View Human Movement Recognition Based on Fuzzy Distances and Linear Discriminant Analysis
* 2013: Active classification for human action recognition
* 2013: Dynamic action recognition based on dynemes and Extreme Learning Machine
* 2013: Minimum Class Variance Extreme Learning Machine for Human Action Recognition
* 2014: Discriminant Bag of Words based representation for human action recognition
* 2014: Human action recognition based on bag of features and multi-view neural networks
* 2014: Kernel Reference Discriminant Analysis
* 2014: Semi-supervised Classification of Human Actions Based on Neural Networks
* 2015: Class-Specific Reference Discriminant Analysis With Application in Human Behavior Analysis
* 2015: Large-scale nonlinear facial image classification based on approximate kernel Extreme Learning Machine
* 2015: Merging linear discriminant analysis with Bag of Words model for human action recognition
* 2015: On the kernel Extreme Learning Machine classifier
* 2015: On the kernel Extreme Learning Machine speedup
* 2015: Sparse extreme learning machine classifier exploiting intrinsic graphs
* 2015: Visual voice activity detection based on spatiotemporal information and bag of words
* 2016: Combining multi-class maximum margin classification with linear discriminant analysis for human action recognition
* 2016: Data Enrichment in Fine-Grained Classification of Aquatic Macroinvertebrates
* 2016: Graph Embedded One-Class Classifiers for media data classification
* 2016: Hierarchical class-specific kernel discriminant analysis for face verification
* 2016: Learned vs. engineered features for fine-grained classification of aquatic macroinvertebrates
* 2016: Multi-class Support Vector Machine classifiers using intrinsic and penalty graphs
* 2016: Multi-modal subspace learning with dropout regularization for cross-modal recognition and retrieval
* 2016: Nyström-based approximate kernel subspace learning
* 2016: Object proposals using CNN-based edge filtering
* 2016: One class classification applied in facial image analysis
* 2016: Prototype-based class-specific nonlinear subspace learning for large-scale face verification
* 2016: Salient object segmentation based on linearly combined affinity graphs
* 2016: Visual Voice Activity Detection in the Wild
* 2017: Big Media Data Analysis
* 2017: Learning graph affinities for spectral graph-based salient object detection
* 2017: Multi-View Nonparametric Discriminant Analysis for Image Retrieval and Recognition
* 2017: Multilinear class-specific discriminant analysis
* 2017: Sample-based regularization for support vector machine classification
* 2017: Subaperture image segmentation for lossless compression
* 2018: Acceleration Approaches for Big Data Analysis
* 2018: Benchmark database for fine-grained image classification of benthic macroinvertebrates
* 2018: Generalized Multi-View Embedding for Visual Recognition and Cross-Modal Retrieval
* 2018: Neural class-specific regression for face verification
* 2018: Probabilistic saliency estimation
* 2018: Subspace Support Vector Data Description
* 2018: Weighted Linear Discriminant Analysis Based on Class Saliency Information
* 2019: Class-Based Variational Representation Learning For Robust Image Retrieval
* 2019: Knowledge Transfer for Face Verification Using Heterogeneous Generalized Operational Perceptrons
* 2020: Bag of Color Features for Color Constancy
* 2020: Class mean vector component and discriminant analysis
* 2020: Deep Learning for Visual Content Analysis
* 2020: Human Action Recognition Using Recurrent Bag-of-features Pooling
* 2020: Human experts vs. machines in taxa recognition
* 2020: Incremental Fast Subclass Discriminant Analysis
* 2020: Probabilistic Color Constancy
* 2020: Recurrent bag-of-features for visual information analysis
* 2020: Subset Sampling for Progressive Neural Network Learning
* 2020: Temporal logistic neural Bag-of-Features for financial time series forecasting leveraging limit order book data
* 2020: Variance-preserving deep metric learning for content-based image retrieval
* 2021: Data Normalization for Bilinear Structures in High-Frequency Financial Time-series
* 2021: Multimodal subspace support vector data description
* 2021: Not all domains are equally complex: Adaptive Multi-Domain Learning
* 2021: Pain detection using batch normalized discriminant restricted Boltzmann machine layers
* 2021: Speed-up and multi-view extensions to subclass discriminant analysis
* 2021: Supervised Domain Adaptation using Graph Embedding
* 2021: Supervised Domain Adaptation: A Graph Embedding Perspective and a Rectified Experimental Protocol
* 2021: Temporal Attention-Augmented Graph Convolutional Network for Efficient Skeleton-Based Human Action Recognition
* 2022: Continual 3D Convolutional Neural Networks for Real-time Processing of Videos
* 2022: Continual Inference: A Library for Efficient Online Inference with Deep Neural Networks in Pytorch
* 2022: Editorial to special issue on cross-media learning for visual question answering
* 2022: Self-attention fusion for audiovisual emotion recognition with incomplete data
* 2023: Augmented bilinear network for incremental multi-stock time-series classification
* 2023: Continual spatio-temporal graph convolutional networks
* 2023: Graph-embedded subspace support vector data description
* 2024: Efficient High-Resolution Deep Learning: A Survey
* 2024: Reducing redundancy in the bottleneck representation of autoencoders
Includes: Iosifidis, A.[Alexandros] Iosifidis, A.
72 for Iosifidis, A.
Iosifidis, C.
* 2006: Integrating texture features into a region-based multi-scale image segmentation algorithm