Index for tefa

Tefas, A.[Anastasios] Co Author Listing * Accelerating Similarity-Based Discriminant Analysis Using Class-Specific Prototypes
* Active classification for human action recognition
* Automated Facial Pose Extraction From Video Sequences Based on Mutual Information
* Autonomous Unmanned Aerial Vehicles Filming In Dynamic Unstructured Outdoor Environments
* Bag of Embedded Words learning for text retrieval
* Benchmarking Protocol for Watermarking Methods, A
* Big Data Analysis for Media Production
* Big Media Data Analysis
* blind robust watermarking scheme for copyright protection of 3d mesh models, A
* Class-Specific Reference Discriminant Analysis With Application in Human Behavior Analysis
* Combining Fuzzy Vector Quantization With Linear Discriminant Analysis for Continuous Human Movement Recognition
* Comparison of Face Verification Results on the XM2VTS Database
* Convolutional Neural Networks for Visual Information Analysis with Limited Computing Resources
* Deep convolutional image retrieval: A general framework
* Discriminant action representation for view-invariant person identification
* Discriminant Bag of Words based representation for human action recognition
* discriminant elastic graph matching algorithm applied to frontal face verification, The
* distributed framework for trimmed Kernel k-Means clustering, A
* Dynamic action recognition based on dynemes and Extreme Learning Machine
* Dynamic training using multistage clustering for face recognition
* Explicit ensemble attention learning for improving visual question answering
* Exploiting Discriminant Information in Elastic Graph Matching
* Exploiting local and global geometric data relationships in Support Vector Data Description
* Exploiting multiplex data relationships in Support Vector Machines
* Exploiting subclass information in Support Vector Machines
* Exploiting supervised learning for finetuning deep CNNs in content based image retrieval
* Exploiting the SVM constraints in NMF with application in eating and drinking activity recognition
* Face detection based on deep convolutional neural networks exploiting incremental facial part learning
* Face recognition via adaptive discriminant clustering
* Face Verification based on Morphological Shape Decomposition
* Face verification using elastic graph matching based on morphological signal decomposition
* Face Verification using Locally Linear Discriminant Models
* Facial expression recognition using clustering discriminant Non-negative Matrix Factorization
* Facial image analysis based on two-dimensional linear discriminant analysis exploiting symmetry
* Facial image clustering in stereoscopic videos using double spectral analysis
* Fast constrained person identity label propagation in stereo videos using a pruned similarity matrix
* Frontal Face Authentication Using Morphological Elastic Graph Matching
* Frontal face authentication using variants of dynamic link matching based on mathematical morphology
* Fully Unsupervised Optimization of CNN Features Towards Content Based Image Retrieval
* Graph Embedded One-Class Classifiers for media data classification
* Greedy Salient Dictionary Learning for Activity Video Summarization
* Human action recognition based on bag of features and multi-view neural networks
* Human identification from human movements
* Image authentication techniques for surveillance applications
* Kernel matrix trimming for improved Kernel K-means clustering
* Kernel Reference Discriminant Analysis
* Label propagation on data with multiple representations through multi-graph locality preserving projections
* Label Propagation on Facial Images Using Similarity and Dissimilarity Labelling Constraints
* Laplacian Support Vector Analysis for Subspace Discriminative Learning
* Large-scale nonlinear facial image classification based on approximate kernel Extreme Learning Machine
* Learning bag-of-embedded-words representations for textual information retrieval
* Learning Bag-of-Features Pooling for Deep Convolutional Neural Networks
* Learning Deep Representations with Probabilistic Knowledge Transfer
* Learning deep spatiotemporal features for video captioning
* Learning Discriminative Representations for Big Data Clustering Using Similarity-Based Dimensionality Reduction
* Learning Multi-Graph Regularization for SVM Classification
* Learning Neural Bag-of-Features for Large-Scale Image Retrieval
* Maximum Margin Projection Subspace Learning for Visual Data Analysis
* Merging linear discriminant analysis with Bag of Words model for human action recognition
* Minimum Class Variance Extreme Learning Machine for Human Action Recognition
* Minimum Class Variance Support Vector Machines
* Morphological elastic graph matching applied to frontal face authentication under well-controlled and real conditions
* Motivating class-specific nonlinear projections for single and multiple view face verification
* Multi-bit Image Watermarking Robust to Geometric Distortions
* Multi-View Human Movement Recognition Based on Fuzzy Distances and Linear Discriminant Analysis
* Multimodal Stereoscopic Movie Summarization Conforming to Narrative Characteristics
* Neural Bag-of-Features learning
* Neural Network Knowledge Transfer using Unsupervised Similarity Matching
* novel dimensionality reduction technique based on kernel optimization through graph embedding, A
* Novel Kernel Discriminant Analysis for Face Verification, A
* On the kernel Extreme Learning Machine classifier
* One class classification applied in facial image analysis
* Online shape learning using binary search trees
* Person Identity Label Propagation in Stereo Videos
* Positive and Negative Label Propagations
* Random Walk Kernel Applications to Classification Using Support Vector Machines
* Salient feature and reliable classifier selection for facial expression classification
* Semantic Map Annotation Through UAV Video Analysis Using Deep Learning Models in ROS
* Semi-supervised Classification of Human Actions Based on Neural Networks
* Sparse extreme learning machine classifier exploiting intrinsic graphs
* Statistical analysis of a watermarking system based on Bernoulli chaotic sequences
* Stereo object tracking with fusion of texture, color and disparity information
* Stereoscopic video shot clustering into semantic concepts based on visual and disparity information
* Subclass discriminant Nonnegative Matrix Factorization for facial image analysis
* Subclass Error Correcting Output Codes Using Fisher's Linear Discriminant Ratio
* Subclass Graph Embedding and a Marginal Fisher Analysis paradigm
* Summarization of human activity videos using a salient dictionary
* Survey on Watermarking Application Scenarios and Related Attacks, A
* Symmetric Subspace Learning for Image Analysis
* Theoretic Investigation of the Use of Watermark Signals derived from Bernoilli Chaotic Sequences
* Using mutual information to indicate facial poses in video sequences
* Using robust dispersion estimation in support vector machines
* Using Support Vector Machines for Face Authentication Based on Elastic Graph Matching
* Using Support Vector Machines to Enhance the Performance of Elastic Graph Matching for Frontal Face Authentication
* Variants of Dynamic Link Architecture Based on Mathematical Morphology for Frontal Face Authentication
* Visual Object Tracking Based on Local Steering Kernels and Color Histograms
* Visual voice activity detection based on spatiotemporal information and bag of words
* Visual Voice Activity Detection in the Wild
Includes: Tefas, A.[Anastasios] Tefas, A. Tefas, A.[Anastastios]
98 for Tefas, A.

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Last update:10-Apr-19 20:23:22
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