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Found 25 papers, 0 papers with code
TinySiamese Network for Biometric Analysis
The accuracy of the fingerprint, gait (NM-angle 180 degree) and face verification tasks was better than the accuracy of a standard Siamese by 0. 87%, 20. 24% and 3. 85% respectively.
SDT-DCSCN for Simultaneous Super-Resolution and Deblurring of Text Images
Our approach uses subsampled blurry images in the input and original sharp images as ground truth.
Handwriting Quality Analysis using Online-Offline Models
The evaluation of our framework is enhanced by a database collected in Tunisia primary school with 400 children.
Neural Architecture based on Fuzzy Perceptual Representation For Online Multilingual Handwriting Recognition
Due to the omnipresence of mobile devices, online handwritten scripts have become the most important feeding input to smartphones and tablet devices.
Dynamic Multi Objective Particle Swarm Optimization based on a New Environment Change Detection Strategy
The dynamic of real-world optimization problems raises new challenges to the traditional particle swarm optimization (PSO).
Multi Objective Particle Swarm Optimization based Cooperative Agents with Automated Negotiation
This paper investigates a new hybridization of multi-objective particle swarm optimization (MOPSO) and cooperative agents (MOPSO-CA) to handle the problem of stagnation encounters in MOPSO, which leads solutions to trap in local optima.
DASPS: A Database for Anxious States based on a Psychological Stimulation
The presented results prove the benefits of the use of a low-cost EEG headset instead of medical non-wireless devices and create a starting point for new researches in the field of anxiety detection.
Neural Probabilistic System for Text Recognition
Unconstrained text recognition is a stimulating field in the branch of pattern recognition.
An Evolutionary Hierarchical Interval Type-2 Fuzzy Knowledge Representation System (EHIT2FKRS) for Travel Route Assignment
Urban Traffic Networks are characterized by high dynamics of traffic flow and increased travel time, including waiting times.
Unsupervised Learning in Reservoir Computing for EEG-based Emotion Recognition
In this paper, Echo State Network (ESN), a recurrent neural network with a great success in time series prediction and classification, is optimized with different neural plasticity rules for classification of emotions based on electroencephalogram (EEG) time series.
Taylor-based Optimized Recursive Extended Exponential Smoothed Neural Networks Forecasting Method
A newly introduced method called Taylor-based Optimized Recursive Extended Exponential Smoothed Neural Networks Forecasting method is applied and extended in this study to forecast numerical values.
Adaptive Extreme Learning Machine for Recurrent Beta-basis Function Neural Network Training
In this paper, new architecture and training algorithm are proposed for the BBFNN.
MOANOFS: Multi-Objective Automated Negotiation based Online Feature Selection System for Big Data Classification
A philosophical vision to this problem leads to a hybridization between two important domains: feature selection using online learning technique (OFS) and automated negotiation (AN).
Multilingual Scene Character Recognition System using Sparse Auto-Encoder for Efficient Local Features Representation in Bag of Features
This give birth to Scene Character Recognition (SCR) which is an important step in scene text recognition pipeline.
An Enhanced Binary Particle-Swarm Optimization (E-BPSO) Algorithm for Service Placement in Hybrid Cloud Platforms
Nowadays, hybrid cloud platforms stand as an attractive solution for organizations intending to implement combined private and public cloud applications, in order to meet their profitability requirements.
Hierarchical Bi-level Multi-Objective Evolution of Single- and Multi-layer Echo State Network Autoencoders for Data Representations
Multi-objective Particle Swarm Optimization (MOPSO) is used to optimize ESN structure in a way to provide a trade-off between the network complexity decreasing and the accuracy increasing.
A Hierarchical Fuzzy System for an Advanced Driving Assistance System
A key component of this system is its ability to continually detect and test the inside and outside risks in real time: The outside car risks by detecting various road moving objects; this proposed system stands on computer vision approaches.
Towards a new system for drowsiness detection based on eye blinking and head posture estimation
Driver drowsiness problem is considered as one of the most important reasons that increases road accidents number.
Genesis of Basic and Multi-Layer Echo State Network Recurrent Autoencoders for Efficient Data Representations
In this paper, the noticeable dynamism and the large memory provided by ESN and the strength of Autoencoders in feature extraction are gathered within an ESN Recurrent Autoencoder (ESN-RAE).
An Extended Beta-Elliptic Model and Fuzzy Elementary Perceptual Codes for Online Multilingual Writer Identification using Deep Neural Network
In this paper, we present a new effective biometric writer identification system from online handwriting.
A Hybrid NN/HMM Modeling Technique for Online Arabic Handwriting Recognition
The output of this network is decoded by HMMs to provide character level recognition.
Text recognition in both ancient and cartographic documents
A phase of wordspotting is done next by combining local and global features.
Multimodal Approach for Video Surveillance Indexing and Retrieval
In this paper, we present an overview of a multimodal system to indexing and searching video sequence by the content that has been developed within the REGIMVid project.
MAS for video objects segmentation and tracking based on active contours and SURF descriptor
In this paper, we describe a new video sequences segmentation and tracking algorithm based on MAS "multi-agent systems" and SURF "Speeded Up Robust Features".
