12 Result(s)
within
Akira Iwata
Computer Science
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Chapter and Conference Paper
A Novel Approach for Sound Approaching Detection
The detection of approaching vehicles is a very important topic on the development of complementary traffic safety systems. However, the majority of the proposed approaches are very complex and not suitable fo...
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Chapter and Conference Paper
A Multiple Sound Source Recognition System Using Pulsed Neuron Model with Short Term Synaptic Depression
Many applications would emerge from the development of artificial systems able to accurately localize and identify sound sources. However, one of the main difficulties of such kind of system is the natural pre...
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Chapter and Conference Paper
A Novel Approach for Hardware Based Sound Localization
Sound localization is an important ability intrinsic to animals, being currently explored by several researches. Even though several systems and implementations have being proposed, the majority is very comple...
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Chapter and Conference Paper
A Back-Propagation Training Method for Multilayer Pulsed Neural Networks Using Principle of Duality
Pulsed Neuron (PN) model was proposed as one of the simplest models working by pulse trains. PN model has a membrane potential to deal with the temporal information, and the calculation process is inexpensive....
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Chapter and Conference Paper
A Novel Approach for Hardware Based Sound Classification
Several applications would emerge from the development of efficient and robust sound classification systems able to identify the nature of non-speech sound sources. This paper proposes a novel approach that co...
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Chapter and Conference Paper
The Detection of an Approaching Sound Source Using Pulsed Neural Network
Current automobiles’ safety systems based on video cameras and movement sensors fail when objects are out of the line of sight. This paper proposes a system based on pulsed neural networks able to detect if a ...
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Chapter and Conference Paper
A Complete Hardware Implementation of an Integrated Sound Localization and Classification System Based on Spiking Neural Networks
Several applications would emerge from the development of artificial systems able to accurately localize and identify sound sources. This paper proposes an integrated sound localization and classification syst...
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Chapter and Conference Paper
Separation and Recognition of Multiple Sound Source Using Pulsed Neuron Model
Many applications would emerge from the development of artificial systems able to accurately localize and identify sound sources. However, one of the main difficulties of such kind of system is the natural pre...
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Chapter and Conference Paper
A New Approach for Applying Support Vector Machines in Multiclass Problems Using Class Grou**s and Truth Tables
The Support Vector Machines (SVMs) had been showing a high capability of complex hyperplane representation and great generalization power. These characteristics lead to the development of more compact and less...
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Chapter and Conference Paper
A Region Selecting Method Which Performs Observation and Action in the Multi-resolution Environment
We propose a method for selecting the characteristic region in the environment based on the occurrence probability of the pattern. If the occurrence probability of the pattern is unknown in initial stage, esti...
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Chapter and Conference Paper
Optimal edge detection under difficult imaging conditions
This paper incrementally extends the energy minimization techniques for image analysis developed by [Koch et al. 1986]. Our application is edge extraction and we use the dual intensity and line processes intro...
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Chapter and Conference Paper
Hand-Written Character Recognition by a Structured Self-Growing Neural Network “CombNET-II”
CombNET-II is a self-growing 4 layered neural network model which has a comb structure. The first layer constitutes a stem network which quantizes an input feature vector space into several sub-spaces and the ...
