loading
Artificial Neural Networks Based Image Processing & Pattern Recognition: From Concepts to Real-World Applications
2008 Edition, November 1, 2008 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

The main goal of this paper is to present artificial neural network potential, through main ANN models and based techniques, to solve real world industrial problems dealing with Image processing and pattern...

Separability and Compactness Network for Image Recognition and Superresolution
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Convolutional neural networks (CNNs) have wide applications in pattern recognition and image processing. Despite recent advances, much remains to be done for CNNs to learn a better representation of image samples. Therefore,...

Sound Event Recognition Using Auditory-Receptive-Field Binary Pattern and Hierarchical-Diving Deep Belief Network
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Automatic sound event recognition (SER) has recently attracted renewed interest. Although practical SER system has many useful applications in everyday life, SER is challenging owing to the variations among sounds and noises in the real-world environment. This...

Epithelium-stroma classification via convolutional neural networks and unsupervised domain adaptation in histopathological images
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Epithelium-stroma classification is a necessary preprocessing step in histopathological image analysis. Current deep learning based recognition methods for histology data require collection of large volumes of labeled data in order to train a new neural...

Development and Validation of an EEG-Based Real-Time Emotion Recognition System Using Edge AI Computing Platform with Convolutional Neural Network System-on-Chip Design
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

This study proposed an electroencephalogram (EEG)-based real-time emotion recognition hardware system architecture based on multiphase convolutional neural network (CNN) algorithm implemented on a 28-nm technology chip and on field programmable gate array...

TensorFlow-based Automatic Personality Recognition Used in Asynchronous Video Interviews
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

With the development of artificial intelligence (AI), the automatic analysis of video interviews to recognize individual personality traits has become an active area of research and has applications in personality computing, human-computer interaction, and psychological...

Enhanced Human Face Recognition Using LBPH Descriptor, Multi-KNN, and Back-Propagation Neural Network
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Face recognition has become a fascinating field for researchers. The motivation behind the enormous interest in the topic is the need to improve the accuracy of many real-time applications. The complexity of the human face and the changes due to different effects...

Feature Extraction of Citrus Juice During Storage for Electronic nose Based on Cellular Neural Network
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Aroma is one of the most important factors affecting the quality of citrus fruit and its processed products. We use electronic nose (E-nose) to detect and analyze volatile components in citrus. An E-nose is an artificial intelligence system with strong independence and fast...

Adversarial Examples: Opportunities and Challenges
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Deep neural networks (DNNs) have shown huge superiority over humans in image recognition, speech processing, autonomous vehicles, and medical diagnosis. However, recent studies indicate that DNNs are vulnerable to adversarial examples (AEs), which are...

Privacy-Preserving Collaborative Deep Learning with Unreliable Participants
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

With powerful parallel computing GPUs and massive user data, neural-network-based deep learning can well exert its strong power in problem modeling and solving, and has archived great success in many applications such as image classification, speech...

Advertisement