21 Result(s)
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Article
Encoder-decoder networks with guided transmission map for effective image dehazing
A plain-architecture and effective image dehazing scheme, called Encoder-Decoder Network with Guided Transmission Map (EDN-GTM), is proposed in this paper. Nowadays, neural networks are often built based on co...
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Chapter and Conference Paper
Encoder–Decoder Network with Guided Transmission Map: Robustness and Applicability
The robustness and applicability of the Encoder–Decoder Network with Guided Transmission Map (EDN-GTM) proposed for efficient single image dehazing purpose are examined in this paper. The EDN-GTM utilizes the ...
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Chapter and Conference Paper
Image Data Classification Using Fuzzy c-Means Algorithm with Different Distance Measures
Fuzzy c-Means algorithms(FCMs) with different distance measures are applied to an image classification problem in this paper. The distance measures discussed in this paper are the Euclidean distance measure an...
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Chapter and Conference Paper
Centroid Neural Network with Simulated Annealing and Its Application to Color Image Segmentation
Centroid Neural Network (CNN) with simulated annealing is proposed and applied to a color image segmentation problem in this paper. CNN is essentially an unsupervised competitive neural network scheme and is a...
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Chapter and Conference Paper
Satellite Image Classification Using a Divergence-Based Fuzzy c-Means Algorithm
A satellite image classifier scheme by using a Fuzzy c-Means (FcM) algorithm is proposed in this paper. The FcM algorithm adopted in this paper is a Gradient-based FcM with Divergence measure (GFcM(D)) and it ...
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Chapter and Conference Paper
Multi-class Classifier-Based Adaboost Algorithm
A multi-class classifier-based AdaBoost algorithm for the efficient classification of multi-class data is proposed in this paper. The traditional AdaBoost algorithm is basically a binary classifier and it has ...
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Chapter and Conference Paper
Color Image Segmentation Using Centroid Neural Network
Color image segmentation has been attracting more and more attention, mainly because color images can provide more information than gray level images. Many methods have been proposed so far to deal with the pr...
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Chapter and Conference Paper
Gradient-based Local Descriptor and Centroid Neural Network for Face Recognition
This paper presents a feature extraction method from facial images and applies it to a face recognition problem. The proposed feature extraction method, called gradient-based local descriptor (GLD), first calc...
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Chapter and Conference Paper
Building Extraction Using Fast Graph Search
This paper presents a new building rooftop extraction method from aerial images. In our approach, we extract the useful building location information from the generated disparity map to segment the interested ...
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Chapter and Conference Paper
Terrain Classification Based on 3D Co-occurrence Features
This paper suggests 3D co-occurrence texture features by extending the concept of co-occurrence feature to the 3D world. The suggested 3D features are described as a 3D co-occurrence matrix by using a co-occur...
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Chapter and Conference Paper
Fuzzy C-Means Algorithm with Divergence-Based Kernel
A Fuzzy C-Means algorithm with a Divergence-based Kernel (FCMDK) for clustering Gaussian Probability Density Function (GPDF) data is proposed in this paper. The proposed FCMDK is based on the Fuzzy C-Means alg...
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Chapter and Conference Paper
Short-Term Load Forecasting Using Multiscale BiLinear Recurrent Neural Network with an Adaptive Learning Algorithm
In this paper, a short-term load forecasting model using a Multiscale BiLinear Recurrent Neural Network with an adaptive learning algorithm (M-BLRNN(AL)) is proposed. The proposed M-BLRNN(AL) model is based on...
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Chapter and Conference Paper
Implicit Camera Calibration Using an Artificial Neural Network
A camera calibration method based on a nonlinear modeling function of an artificial neural network (ANN) is proposed in this paper. With the application of the nonlinear map** feature of an ANN, the proposed...
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Chapter and Conference Paper
MPEG Video Traffic Modeling and Classification Using Fuzzy C-Means Algorithm with Divergence-Based Kernel
A modeling and classification model for MPEG video traffic data using a Fuzzy C-Means algorithm with a Divergence-based Kernel (FCMDK) for clustering GPDF data is proposed in this paper. The FCMDK is based on ...
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Chapter and Conference Paper
Multiscale BiLinear Recurrent Neural Network with an Adaptive Learning Algorithm
In this paper, a wavelet-based neural network architecture called the Multiscale BiLinear Recurrent Neural Network with an adaptive learning algorithm (M-BLRNN(AL)) is proposed. The proposed M-BLRNN(AL) is for...
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Chapter and Conference Paper
Application of 3D Co-occurrence Features to Terrain Classification
Texture analysis has been efficiently utilized in the area of terrain classification. In this application, features have been obtained in the 2D image domain. This paper suggests 3D co-occurrence texture featu...
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Chapter and Conference Paper
Equalization of a Wireless ATM Channel with Simplified Complex Bilinear Recurrent Neural Network
A new equalization method for a wireless ATM communication channel using a simplified version of the complex bilinear recurrent neural network (S-CBLRNN) is proposed in this paper. The S-BLRNN is then applied ...
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Chapter and Conference Paper
Gradient-Based FCM and a Neural Network for Clustering of Incomplete Data
Clustering of incomplete data using a neural network and the Gradient-Based Fuzzy c-Means (GBFCM) is proposed in this paper. The proposed algorithm is applied to the Iris data to evaluate its performance. When...
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Chapter and Conference Paper
Classification of Audio Signals Using Gradient-Based Fuzzy c-Means Algorithm with Divergence Measure
Multimedia databases usually store thousands of audio files such as music, speech and other sounds. One of the challenges in modern multimedia system is to classify and retrieve certain kinds of audio from the...
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Chapter and Conference Paper
Classification of MPEG VBR Video Data Using Gradient-Based FCM with Divergence Measure
An efficient approximation of the Gaussian Probability Density Function (GPDF) is proposed in this paper. The proposed algorithm, called the Gradient-Based FCM with Divergence Measure (GBFCM (DM)), employs the...
