Color is a powerful feature for image analysis but it is usually not used in image classification schemes. We propose a method to combine fuzzy color information with the result obtained from a One-Versus-All classifi...
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ISBN:
(纸本)9781509060351
Color is a powerful feature for image analysis but it is usually not used in image classification schemes. We propose a method to combine fuzzy color information with the result obtained from a One-Versus-All classifier (OVA) trained with Bag-of-features. This method consists in weighting the outputs of the OVA classifier based on the distances between the new image to be classified and the classes. Experimental results show that our approach improves OVA classifier performance.
Nowadays there are many microarray gene expression datasets which are available by means of public repositories. Nevertheless, the fact is that most of them are low-scale analysis with a little number of samples. Cons...
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Nowadays there are many microarray gene expression datasets which are available by means of public repositories. Nevertheless, the fact is that most of them are low-scale analysis with a little number of samples. Consequently, integrating different data from several independent studies which try to treat a similar disease may be seen as a good option to tackle with the scarce number of samples that can be collected by only one study. In this paper we take a step beyond this approach and we merge also datasets from different microarray technologies, namely both Illumina and Affymetrix. Thanks to that we achieve a bigger database of lung cancer studies in order to obtain more significantly expressed genes in the differential gene expression analysis.
Two new models for sitting a new facility in a competitive environment are revised. Both the location and the quality of the new facility are to be found, so as to maximize the profit obtained by the locating firm. Th...
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The Input/Output (I/O) topic as a branch of the computerarchitecture field has been considered a key topic in both the computer Science and the computer Engineering curricula. Years of teaching have demonstrated this...
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The Input/Output (I/O) topic as a branch of the computerarchitecture field has been considered a key topic in both the computer Science and the computer Engineering curricula. Years of teaching have demonstrated this topic to be difficult for students to understand. Having made some changes to the methodology used to teach the topic and to the infrastructure used for practice, we have analysed the results and concluded that the research should be more expert-centric than novice-centric. In this turnaround some exam questions have been analysed in order to determine the real learning outcomes achieved.
A new general multi-objective optimization heuristic algorithm, suitable for being applied to continuous multi-objective optimization problems is proposed. It deals with the problem at hand in a fast and efficient way...
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Intrusion Detection System (IDS) which are increasingly a key part of system defense are used to identify abnormal activities in a computer system. In general, the traditional IDS relies on the extensive knowledge of ...
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Intrusion Detection System (IDS) which are increasingly a key part of system defense are used to identify abnormal activities in a computer system. In general, the traditional IDS relies on the extensive knowledge of security experts, in particular, on their familiarity with the computer system to be protected. To reduce this dependence, various data-mining and machine learning techniques have been used in the literature. The experiments and evaluations of the proposed intrusion detection system are performed with the NSL-KDD intrusion detection dataset. We will apply different learning algorithms on NSL-KDD data set, to recognize between normal and attack connections and compare their performing in different scenarios- discretization, features selections and algorithm method for classification- using a powerful statistical analysis: ANOVA. In this study, both the accuracy of the configuration of different system and methodologies used, and also the computational time and complexity of the methodologies are analyzed.
In this work we present a virtual whiteboard and chat tool which has been developed and integrated in a learning management system (SWAD). It is being used as a teaching aid for several degrees at the University of Gr...
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This chapter presents a platform for supporting education tasks;we call it SWAD (in Spanish, it stands for Web-System for Education Support). This platform has been gradually developed during the last 7 years and is c...
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In this paper a fuzzy C-means (FCM) based approach for speech/non-speech discrimination is developed to build an effective voice activity detection (VAD) algorithm. The proposed VAD method is based on a soft-decision ...
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In this paper, we present a tool devised for the automatic design and optimization of bioinspired visual processing models using reconfigurable hardware. We have focused on the simulation and optimization characterist...
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