Folios ◽  
2013 ◽  
Vol 1 (38) ◽  
pp. 75-94
Author(s):  
Harold Castañeda Peña ◽  
◽  
Adriana Salazar Sierra ◽  
Nadya González Romero ◽  
Luis Ignacio Sierra Gutiérrez ◽  
...  

1995 ◽  
Vol 7 (2) ◽  
pp. 358-369 ◽  
Author(s):  
Sung-Bae Cho ◽  
Jin H. Kim

This paper presents a hybrid architecture of hidden Markov models (HMMs) and a multilayer perceptron (MLP). This exploits the discriminative capability of a neural network classifier while using HMM formalism to capture the dynamics of input patterns. The main purpose is to improve the discriminative power of the HMM-based recognizer by additionally classifying the likelihood values inside them with an MLP classifier. To appreciate the performance of the presented method, we apply it to the recognition problem of on-line handwritten characters. Simulations show that the proposed architecture leads to a significant improvement in generalization performance over conventional approaches to sequential pattern recognition.


Author(s):  
Giannis Milolidakis ◽  
Chris Kimble ◽  
Corinne Grenier

This chapter analyzes behaviour in on-line games from a practice-oriented perspective and focuses on how individuals create and sustain social structures. It reports on research based in MMOGs (Massively Multiplayer Online Games) that investigates how what the players do in the gaming environment can give rise to structures that continue to exist outside that environment. The analysis centres on the notion of how practice is framed within the game; the methodology is one based on virtual ethnography. It describes the activities of a group of gamers in both MMOGs and other on-line settings. It will show how such players develop an identity as members of a ’community of games players’ and how their gaming practices are not based around a single game but are spread across several different platforms.


Author(s):  
William Krakow

In the past few years on-line digital television frame store devices coupled to computers have been employed to attempt to measure the microscope parameters of defocus and astigmatism. The ultimate goal of such tasks is to fully adjust the operating parameters of the microscope and obtain an optimum image for viewing in terms of its information content. The initial approach to this problem, for high resolution TEM imaging, was to obtain the power spectrum from the Fourier transform of an image, find the contrast transfer function oscillation maxima, and subsequently correct the image. This technique requires a fast computer, a direct memory access device and even an array processor to accomplish these tasks on limited size arrays in a few seconds per image. It is not clear that the power spectrum could be used for more than defocus correction since the correction of astigmatism is a formidable problem of pattern recognition.


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