This book constitutes the refereed proceedings of the 5th INNS iapr TC3 GIRPR International workshop on artificialneuralnetworks in patternrecognition, ANNPR 2012, held in Trento, Italy, in September 2012. The 21 r...
ISBN:
(数字)9783642332128
ISBN:
(纸本)9783642332111
This book constitutes the refereed proceedings of the 5th INNS iapr TC3 GIRPR International workshop on artificialneuralnetworks in patternrecognition, ANNPR 2012, held in Trento, Italy, in September 2012. The 21 revised full papers presented were carefully reviewed and selected for inclusion in this volume. They cover a large range of topics in the field of neural network- and machine learning-based patternrecognition presenting and discussing the latest research, results, and ideas in these areas.
We present a computational system that combines artificialneuralnetworks and other image processing techniques to achieve teeth/palate segmentation and interdental segmentation in palatal view photographs of the upp...
详细信息
Since the works by Specht, the probabilistic neuralnetworks (PNNs) have attracted researchers due to their ability to increase training speed and their equivalence to the optimal Bayesian decision of classification t...
详细信息
This paper compares the performance of multilayer perceptron (MLP) networks trained with conventional bipolar target vectors (CBVs) and orthogonal bipolar new target vectors (OBVs) for biometric patternrecognition. T...
详细信息
Gradient-following algorithms are deployed for efficient adaptation of exploration parameters in temporal-difference learning with discrete action spaces. Global and local variants are evaluated in discrete and contin...
详细信息
Accurate detection of lip contour is important in many application areas, including biometric authentication, human computer interaction, and facial expression recognition. In this paper, we propose a new lip boundary...
详细信息
The brain functions as a spatio-temporal information processing machine and deals extremely well with spatio-temporal data. Spatio- and spectro-temporal data (SSTD) are the most common data collected to measure brain ...
详细信息
In this paper, the classification power of the eigenvalues of six graph-associated matrices is investigated and evaluated on a benchmark dataset for optical character recognition. The extracted eigenvalues were utiliz...
详细信息
This paper investigates image and RGB video compression by a supervised morphological neural network. This network was originally designed to compress grayscale image and was then extended to RGB video. It supports tw...
详细信息
暂无评论