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