33 citations · 149 across the 23 of their papers we have counts for
13 papers · 1 filter
An Embedded System for Image-based Crack Detection by using Fine-Tuning model of Adaptive Structural Learning of Deep Belief Network
Shin Kamada, Takumi Ichimura
Deep learning has been a successful model which can effectively represent several features of input space and remarkably improve image recognition performance on the deep architect…
Re-learning of Child Model for Misclassified data by using KL Divergence in AffectNet: A Database for Facial Expression
Takumi Ichimura, Shin Kamada
AffectNet contains more than 1,000,000 facial images which manually annotated for the presence of eight discrete facial expressions and the intensity of valence and arousal. Adapti…
A Video Recognition Method by using Adaptive Structural Learning of Long Short Term Memory based Deep Belief Network
Shin Kamada, Takumi Ichimura
Deep learning builds deep architectures such as multi-layered artificial neural networks to effectively represent multiple features of input patterns. The adaptive structural learn…
An Object Detection by using Adaptive Structural Learning of Deep Belief Network
Shin Kamada, Takumi Ichimura
Deep learning forms a hierarchical network structure for representation of multiple input features. The adaptive structural learning method of Deep Belief Network (DBN) can realize…
Adaptive Structural Learning of Deep Belief Network for Medical Examination Data and Its Knowledge Extraction by using C4.5
Shin Kamada, Takumi Ichimura, Toshihide Harada
Deep Learning has a hierarchical network architecture to represent the complicated feature of input patterns. The adaptive structural learning method of Deep Belief Network (DBN) h…
Knowledge Extracted from Recurrent Deep Belief Network for Real Time Deterministic Control
Shin Kamada, Takumi Ichimura
Recently, the market on deep learning including not only software but also hardware is developing rapidly. Big data is collected through IoT devices and the industry world will ana…
Adaptive Learning Method of Recurrent Temporal Deep Belief Network to Analyze Time Series Data
Takumi Ichimura, Shin Kamada
Deep Learning has the hierarchical network architecture to represent the complicated features of input patterns. Such architecture is well known to represent higher learning capabi…
Shortening Time Required for Adaptive Structural Learning Method of Deep Belief Network with Multi-Modal Data Arrangement
Shin Kamada, Takumi Ichimura
Recently, Deep Learning has been applied in the techniques of artificial intelligence. Especially, Deep Learning performed good results in the field of image recognition. Most new…
Fine Tuning Method by using Knowledge Acquisition from Deep Belief Network
Shin Kamada, Takumi Ichimura
We developed an adaptive structure learning method of Restricted Boltzmann Machine (RBM) which can generate/annihilate neurons by self-organizing learning method according to input…
An Adaptive Learning Method of Deep Belief Network by Layer Generation Algorithm
Shin Kamada, Takumi Ichimura
Deep Belief Network (DBN) has a deep architecture that represents multiple features of input patterns hierarchically with the pre-trained Restricted Boltzmann Machines (RBM). A tra…
An Adaptive Learning Method of Restricted Boltzmann Machine by Neuron Generation and Annihilation Algorithm
Shin Kamada, Takumi Ichimura
Restricted Boltzmann Machine (RBM) is a generative stochastic energy-based model of artificial neural network for unsupervised learning. Recently, RBM is well known to be a pre-tra…
A Generation Method of Immunological Memory in Clonal Selection Algorithm by using Restricted Boltzmann Machines
Shin Kamada, Takumi Ichimura
Recently, a high technique of image processing is required to extract the image features in real time. In our research, the tourist subject data are collected from the Mobile Phone…
Clustering and Retrieval Method of Immunological Memory Cell in Clonal Selection Algorithm
Takumi Ichimura, Shin Kamada
The clonal selection principle explains the basic features of an adaptive immune response to a antigenic stimulus. It established the idea that only those cells that recognize the…