Index for iosi

Iosif, E. Standard Author Listing
     with: Katsamanis, A.: Predicting audio-visual salient events based on visual...
     with: Koutras, P.: Predicting audio-visual salient events based on visual, a...
     with: Maragos, P.: Predicting audio-visual salient events based on visual, a...
     with: Potamianos, A.: Predicting audio-visual salient events based on visual...
     with: Zlatintsi, A.: Predicting audio-visual salient events based on visual,...

Iosifescu Enescu, C.M. Standard Author Listing
     with: Gkonos, C.: Cloud-Based Architectures for Auto-Scalable Web Geoportals...
     with: Hurni, L.: Cloud-Based Architectures for Auto-Scalable Web Geoportals ...
     with: Iosifescu Enescu, I.: Cloud-Based Architectures for Auto-Scalable Web ...
     with: Matthys, C.: Cloud-Based Architectures for Auto-Scalable Web Geoportal...

Iosifescu Enescu, I. Standard Author Listing
     with: Adey, B.T.: method to visualize the evolution of multiple interacting ...
     with: Gkonos, C.: Cloud-Based Architectures for Auto-Scalable Web Geoportals...
     with: Hackl, J.: method to visualize the evolution of multiple interacting s...
     with: Heitzler, M.: method to visualize the evolution of multiple interactin...
     with: Hurni, L.: Cloud-Based Architectures for Auto-Scalable Web Geoportals ...
     with: Hurni, L.: method to visualize the evolution of multiple interacting s...
     with: Iosifescu Enescu, C.M.: Cloud-Based Architectures for Auto-Scalable We...
     with: Lam, J.C.: method to visualize the evolution of multiple interacting s...
     with: Matthys, C.: Cloud-Based Architectures for Auto-Scalable Web Geoportal...
9 for Iosifescu Enescu, I.

Iosifidis, A. Standard Author Listing
     with: Ahmad, I.: Benchmark database for fine-grained image classification of...
     with: Ahmad, I.: Data Enrichment in Fine-Grained Classification of Aquatic M...
     with: Ahmad, I.: Learned vs. engineered features for fine-grained classifica...
     with: Arje, J.: Benchmark database for fine-grained image classification of ...
     with: Arje, J.: Human experts vs. machines in taxa recognition
     with: Arje, J.: Learned vs. engineered features for fine-grained classificat...
     with: Aytekin, C.: Learning graph affinities for spectral graph-based salien...
     with: Aytekin, C.: Probabilistic saliency estimation
     with: Aytekin, C.: Salient object segmentation based on linearly combined af...
     with: Cao, G.: Multi-modal subspace learning with dropout regularization for...
     with: Cao, G.Q.: Generalized Multi-View Embedding for Visual Recognition and...
     with: Cao, G.Q.: Multi-View Nonparametric Discriminant Analysis for Image Re...
     with: Cao, G.Q.: Neural class-specific regression for face verification
     with: Chen, K.: Generalized Multi-View Embedding for Visual Recognition and ...
     with: Chumachenko, K.: Incremental Fast Subclass Discriminant Analysis
     with: Chumachenko, K.: Speed-up and multi-view extensions to subclass discri...
     with: Gabbouj, M.: Acceleration Approaches for Big Data Analysis
     with: Gabbouj, M.: Bag of Color Features for Color Constancy
     with: Gabbouj, M.: Benchmark database for fine-grained image classification ...
     with: Gabbouj, M.: Big Media Data Analysis
     with: Gabbouj, M.: Class-Based Variational Representation Learning For Robus...
     with: Gabbouj, M.: Combining multi-class maximum margin classification with ...
     with: Gabbouj, M.: Data Enrichment in Fine-Grained Classification of Aquatic...
     with: Gabbouj, M.: Data Normalization for Bilinear Structures in High-Freque...
     with: Gabbouj, M.: Generalized Multi-View Embedding for Visual Recognition a...
     with: Gabbouj, M.: Hierarchical class-specific kernel discriminant analysis ...
     with: Gabbouj, M.: Human Action Recognition Using Recurrent Bag-of-features ...
     with: Gabbouj, M.: Human experts vs. machines in taxa recognition
     with: Gabbouj, M.: Incremental Fast Subclass Discriminant Analysis
     with: Gabbouj, M.: Knowledge Transfer for Face Verification Using Heterogene...
     with: Gabbouj, M.: Learned vs. engineered features for fine-grained classifi...
     with: Gabbouj, M.: Learning graph affinities for spectral graph-based salien...
     with: Gabbouj, M.: Multi-class Support Vector Machine classifiers using intr...
     with: Gabbouj, M.: Multi-modal subspace learning with dropout regularization...
     with: Gabbouj, M.: Multi-View Nonparametric Discriminant Analysis for Image ...
     with: Gabbouj, M.: Multilinear class-specific discriminant analysis
     with: Gabbouj, M.: Multimodal subspace support vector data description
     with: Gabbouj, M.: Neural class-specific regression for face verification
     with: Gabbouj, M.: Not all domains are equally complex: Adaptive Multi-Domai...
     with: Gabbouj, M.: Nyström-based approximate kernel subspace learning
     with: Gabbouj, M.: Object proposals using CNN-based edge filtering
     with: Gabbouj, M.: On the kernel Extreme Learning Machine speedup
     with: Gabbouj, M.: Probabilistic Color Constancy
     with: Gabbouj, M.: Probabilistic saliency estimation
     with: Gabbouj, M.: Prototype-based class-specific nonlinear subspace learnin...
     with: Gabbouj, M.: Recurrent bag-of-features for visual information analysis
     with: Gabbouj, M.: Salient object segmentation based on linearly combined af...
     with: Gabbouj, M.: Sample-based regularization for support vector machine cl...
     with: Gabbouj, M.: Speed-up and multi-view extensions to subclass discrimina...
     with: Gabbouj, M.: Subaperture image segmentation for lossless compression
     with: Gabbouj, M.: Subset Sampling for Progressive Neural Network Learning
     with: Gabbouj, M.: Subspace Support Vector Data Description
     with: Gabbouj, M.: Temporal logistic neural Bag-of-Features for financial ti...
     with: Gabbouj, M.: Variance-preserving deep metric learning for content-base...
     with: Gabbouj, M.: Weighted Linear Discriminant Analysis Based on Class Sali...
     with: Hedegaard, L.: Supervised Domain Adaptation: A Graph Embedding Perspec...
     with: Heidari, N.: Temporal Attention-Augmented Graph Convolutional Network ...
     with: Kanniainen, J.H.: Data Normalization for Bilinear Structures in High-F...
     with: Kanniainen, J.H.: Temporal logistic neural Bag-of-Features for financi...
     with: Karkkainen, S.: Benchmark database for fine-grained image classificati...
     with: Karkkainen, S.: Human experts vs. machines in taxa recognition
     with: Karkkainen, S.: Learned vs. engineered features for fine-grained class...
     with: Kharghanian, R.: Pain detection using batch normalized discriminant re...
     with: Kiranyaz, S.: Acceleration Approaches for Big Data Analysis
     with: Kiranyaz, S.: Benchmark database for fine-grained image classification...
     with: Kiranyaz, S.: Data Enrichment in Fine-Grained Classification of Aquati...
     with: Kiranyaz, S.: Human experts vs. machines in taxa recognition
     with: Kiranyaz, S.: Knowledge Transfer for Face Verification Using Heterogen...
     with: Kiranyaz, S.: Learned vs. engineered features for fine-grained classif...
     with: Kiranyaz, S.: Learning graph affinities for spectral graph-based salie...
     with: Kiranyaz, S.: Salient object segmentation based on linearly combined a...
     with: Krestenitis, M.: Human Action Recognition Using Recurrent Bag-of-featu...
     with: Krestenitis, M.: Recurrent bag-of-features for visual information anal...
     with: Laakom, F.: Bag of Color Features for Color Constancy
     with: Laakom, F.: Probabilistic Color Constancy
     with: Liu, S.: Subaperture image segmentation for lossless compression
     with: Meissner, K.: Benchmark database for fine-grained image classification...
     with: Meissner, K.: Data Enrichment in Fine-Grained Classification of Aquati...
     with: Meissner, K.: Human experts vs. machines in taxa recognition
     with: Meissner, K.: Learned vs. engineered features for fine-grained classif...
     with: Moradi, F.: Pain detection using batch normalized discriminant restric...
     with: Morsing, L.H.: Supervised Domain Adaptation using Graph Embedding
     with: Muravev, A.: Acceleration Approaches for Big Data Analysis
     with: Mygdalis, V.: Graph Embedded One-Class Classifiers for media data clas...
     with: Mygdalis, V.: One class classification applied in facial image analysis
     with: Nikkanen, J.: Bag of Color Features for Color Constancy
     with: Nikkanen, J.: Probabilistic Color Constancy
     with: Nikolaidis, N.: Multi-View Human Movement Recognition Based on Fuzzy D...
     with: Nikolaidis, N.: Visual voice activity detection based on spatiotempora...
     with: Nikolaidis, N.: Visual Voice Activity Detection in the Wild
     with: Passalis, N.: Bag of Color Features for Color Constancy
     with: Passalis, N.: Class-Based Variational Representation Learning For Robu...
     with: Passalis, N.: Human Action Recognition Using Recurrent Bag-of-features...
     with: Passalis, N.: Recurrent bag-of-features for visual information analysis
     with: Passalis, N.: Temporal logistic neural Bag-of-Features for financial t...
     with: Passalis, N.: Variance-preserving deep metric learning for content-bas...
     with: Patrona, F.: Visual voice activity detection based on spatiotemporal i...
     with: Patrona, F.: Visual Voice Activity Detection in the Wild
     with: Peiravi, A.: Pain detection using batch normalized discriminant restri...
     with: Pitas, I.: Active classification for human action recognition
     with: Pitas, I.: Big Media Data Analysis
     with: Pitas, I.: Class-Specific Reference Discriminant Analysis With Applica...
     with: Pitas, I.: Discriminant action representation for view-invariant perso...
     with: Pitas, I.: Discriminant Bag of Words based representation for human ac...
     with: Pitas, I.: Dynamic action recognition based on dynemes and Extreme Lea...
     with: Pitas, I.: Graph Embedded One-Class Classifiers for media data classif...
     with: Pitas, I.: Human action recognition based on bag of features and multi...
     with: Pitas, I.: Kernel Reference Discriminant Analysis
     with: Pitas, I.: Large-scale nonlinear facial image classification based on ...
     with: Pitas, I.: Merging linear discriminant analysis with Bag of Words mode...
     with: Pitas, I.: Minimum Class Variance Extreme Learning Machine for Human A...
     with: Pitas, I.: Multi-View Human Movement Recognition Based on Fuzzy Distan...
     with: Pitas, I.: On the kernel Extreme Learning Machine classifier
     with: Pitas, I.: One class classification applied in facial image analysis
     with: Pitas, I.: Semi-supervised Classification of Human Actions Based on Ne...
     with: Pitas, I.: Sparse extreme learning machine classifier exploiting intri...
     with: Pitas, I.: Visual voice activity detection based on spatiotemporal inf...
     with: Pitas, I.: Visual Voice Activity Detection in the Wild
     with: Raitoharju, J.: Bag of Color Features for Color Constancy
     with: Raitoharju, J.: Benchmark database for fine-grained image classificati...
     with: Raitoharju, J.: Data Enrichment in Fine-Grained Classification of Aqua...
     with: Raitoharju, J.: Human experts vs. machines in taxa recognition
     with: Raitoharju, J.: Incremental Fast Subclass Discriminant Analysis
     with: Raitoharju, J.: Learned vs. engineered features for fine-grained class...
     with: Raitoharju, J.: Multimodal subspace support vector data description
     with: Raitoharju, J.: Not all domains are equally complex: Adaptive Multi-Do...
     with: Raitoharju, J.: Probabilistic Color Constancy
     with: Raitoharju, J.: Speed-up and multi-view extensions to subclass discrim...
     with: Raitoharju, J.: Subspace Support Vector Data Description
     with: Riabchenko, E.: Benchmark database for fine-grained image classificati...
     with: Riabchenko, E.: Data Enrichment in Fine-Grained Classification of Aqua...
     with: Riabchenko, E.: Learned vs. engineered features for fine-grained class...
     with: Schiopu, I.: Subaperture image segmentation for lossless compression
     with: Senhaji, A.: Not all domains are equally complex: Adaptive Multi-Domai...
     with: Sheikh Omar, O.A.: Supervised Domain Adaptation using Graph Embedding
     with: Sheikh Omar, O.A.: Supervised Domain Adaptation: A Graph Embedding Per...
     with: Sohrab, F.: Multimodal subspace support vector data description
     with: Sohrab, F.: Subspace Support Vector Data Description
     with: Tefas, A.: Active classification for human action recognition
     with: Tefas, A.: Bag of Color Features for Color Constancy
     with: Tefas, A.: Big Media Data Analysis
     with: Tefas, A.: Class-Based Variational Representation Learning For Robust ...
     with: Tefas, A.: Class-Specific Reference Discriminant Analysis With Applica...
     with: Tefas, A.: Deep Learning for Visual Content Analysis
     with: Tefas, A.: Discriminant action representation for view-invariant perso...
     with: Tefas, A.: Discriminant Bag of Words based representation for human ac...
     with: Tefas, A.: Dynamic action recognition based on dynemes and Extreme Lea...
     with: Tefas, A.: Graph Embedded One-Class Classifiers for media data classif...
     with: Tefas, A.: Human action recognition based on bag of features and multi...
     with: Tefas, A.: Human Action Recognition Using Recurrent Bag-of-features Po...
     with: Tefas, A.: Kernel Reference Discriminant Analysis
     with: Tefas, A.: Large-scale nonlinear facial image classification based on ...
     with: Tefas, A.: Merging linear discriminant analysis with Bag of Words mode...
     with: Tefas, A.: Minimum Class Variance Extreme Learning Machine for Human A...
     with: Tefas, A.: Multi-View Human Movement Recognition Based on Fuzzy Distan...
     with: Tefas, A.: On the kernel Extreme Learning Machine classifier
     with: Tefas, A.: One class classification applied in facial image analysis
     with: Tefas, A.: Recurrent bag-of-features for visual information analysis
     with: Tefas, A.: Semi-supervised Classification of Human Actions Based on Ne...
     with: Tefas, A.: Sparse extreme learning machine classifier exploiting intri...
     with: Tefas, A.: Temporal logistic neural Bag-of-Features for financial time...
     with: Tefas, A.: Variance-preserving deep metric learning for content-based ...
     with: Tefas, A.: Visual voice activity detection based on spatiotemporal inf...
     with: Tefas, A.: Visual Voice Activity Detection in the Wild
     with: Tirronen, V.: Benchmark database for fine-grained image classification...
     with: Tirronen, V.: Human experts vs. machines in taxa recognition
     with: Tirronen, V.: Learned vs. engineered features for fine-grained classif...
     with: Tran, D.T.: Acceleration Approaches for Big Data Analysis
     with: Tran, D.T.: Data Normalization for Bilinear Structures in High-Frequen...
     with: Tran, D.T.: Knowledge Transfer for Face Verification Using Heterogeneo...
     with: Tran, D.T.: Multilinear class-specific discriminant analysis
     with: Tran, D.T.: Sample-based regularization for support vector machine cla...
     with: Tran, D.T.: Subset Sampling for Progressive Neural Network Learning
     with: Tuna, U.: Probabilistic Color Constancy
     with: Waris, M.A.: Multi-modal subspace learning with dropout regularization...
     with: Waris, M.A.: Object proposals using CNN-based edge filtering
     with: Waris, M.A.: Sample-based regularization for support vector machine cl...
     with: Xu, L.: Weighted Linear Discriminant Analysis Based on Class Saliency ...
     with: Zeng, B.: Subaperture image segmentation for lossless compression
179 for Iosifidis, A.

Iosifidis, C. Standard Author Listing
     with: Argialas, D.: Integrating texture features into a region-based multi-s...
     with: Tzotsos, A.: Integrating texture features into a region-based multi-sc...

Index for "i"


Last update: 1-Dec-21 08:50:19
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