In this paper, we propose a new tomography method called Monte Carlo Voting to visualize the crosssectional surfaces of scattering media. Since the incident light repeats a collision with small particles in scattering media, there are many light paths. To trace them, we use the Monte Carlo ray tracing algorithm and compute the attenuation ratio that represents the likelihood of hidden objects f...

Conventional segmentation technique cannot extract an isolated character and a touching character. In this paper, to utilize information of such characters, we propose a novel character recognition method based on extracting feature points and voting. The voting algorithm of the proposed method is similar to the generalized Hough transform. This method enables us to extract and recognize such t...

Many techniques have been proposed to speedup the performance of classic Hough Transform. These techniques are primarily based on converting the voting procedure to a hierarchy based voting method. These methods use approximate decision-making process. In this paper, we propose a fast decision making process that enhances the speed and reduces the space requirements. Experimental results demons...

This paper presents a framework for multi-class vehicle type identification based on oriented contour points. The decision process combines four classifiers: three voting algorithms and a distance error. This method have been tested on a realistic data set obtaining similar results for equivalent recognition frameworks with different features selections [11]. A confidence criterion is also calc...

Due to the diierent characteristics of replicated data objects and networks, highly adjustable replication schemes for the management of replicated data objects are required. Data replication schemes can be regarded as special instances of cooperation schemes, which describe the interaction of independent nodes within a computer network in order to achieve a common goal. This paper presents a n...

This article is focused on some variations of Reed-Muller codes that yield improvements to the rate for a prescribed decoding performance under the Berlekamp-Massey-Sakata algorithm with majority voting. Explicit formulas for the redundancies of the new codes are given. Introduction Reed-Muller codes belong to the family of evaluation codes, commonly defined on an order domain. The decoding alg...

This paper presents a set of experiments to address the global polarity classification task of Spanish Tweets of TASS 2015. In this work, we compare the main supervised classification algorithms for Sentiment Analysis: Support Vector Machines, Naive Bayes, Maximum Entropy and Decision Trees. We propose to improve the performance of these classifiers using a class reduction technique and then a ...

Voting is an important operation in the fusion of data originating from diverse sources and in the realization of ultrareliable systems based on multiple computation channels. Voting involves the derivation of an output data object from a collection of n input data objects, as prescribed by the requirements and constraints of a voting algorithm. The objects voted on can be quite complex in term...

Human beings have an apparently innate ability to segment continuous audio speech into words, and that ability is present in infants as young as 8 months old. This propensity towards audio segmentation seems to lay the groundwork for language learning in human beings. To artificially reproduce this ability would be both practically useful and theoretically enlightening. In this paper we propose...

Nowadays, multiple receiver voting systems use several receivers so that at least one receiver always receives a high quality signal from portable and mobile units operating anywhere within the desired coverage area. Abstract— The voting systems appeared with the purpose of overcoming the problems of bad quality signal in radio systems or mobile phones. This technique consists of selecting amon...