{"title":"Neighborhood Rank Order Coding for Robust Texture Analysis and Feature Extraction","authors":"C. Mayr, R. Schüffny","doi":"10.1109/HIS.2007.12","DOIUrl":"https://doi.org/10.1109/HIS.2007.12","url":null,"abstract":"Research into the visual cortex and general neural information processing has led to various attempts to integrate pulse computation schemes in image analysis systems. Of interest is especially the robustness of representing an analogue signal in the phase or duration of a pulsed, quasi-digital signal, as well as the possibility of direct digital interaction, i.e. computation, among these signals. Such a computation can also achieve information compaction for subsequent processing stages. By using a pulse order encoding scheme motivated by dendritic pulse interaction, we will show that a powerful low-level feature and texture extraction operator, called pulsed local orientation coding (PLOC), can be implemented. Feature extraction results are being presented, and a possible VLSI implementation is detailed.","PeriodicalId":359991,"journal":{"name":"7th International Conference on Hybrid Intelligent Systems (HIS 2007)","volume":"915 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130788116","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Pareto-dominated Hypervolume Measure: An Alternative Approach to Color Morphology","authors":"M. Köppen, K. Franke","doi":"10.1109/HIS.2007.49","DOIUrl":"https://doi.org/10.1109/HIS.2007.49","url":null,"abstract":"In this paper, an alternative approach to the non-linear filtering of mathematical morphology for color and multi-spectral images based on the Pareto-dominated hypervolume measure is presented. Parteo-set theory is studied in this context, and among others, successfully implemented in the morphological filtering of color images. The demand to assess the quality of a multi-objective optimization algorithms, in particular, has put forth several kind of measures. One of these measures, the hypervolume, bases on the Lebesque measure of all points dominated by a set of points and maps a set of Pareto-optimal points to a non-negative scalar. By considering the hypervolume in the color-image domain, it can be shown that this hypervolume corresponds to another kind of color morphology, were each pixel in the filtered image represents the hypervolume of its set of neighbours in the original color image. In the following, some properties of the hypervolume, as used as an image-processing filter will be derived, and some potential applications of this approach to color morphology will be suggested.","PeriodicalId":359991,"journal":{"name":"7th International Conference on Hybrid Intelligent Systems (HIS 2007)","volume":"148 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133895112","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
W. H. Schuler, C. J. A. B. Filho, Adriano Oliveira
{"title":"A Novel Hybrid Training Method for Hopfield Neural Networks Applied to Routing in Communications Networks","authors":"W. H. Schuler, C. J. A. B. Filho, Adriano Oliveira","doi":"10.3233/HIS-2009-0074","DOIUrl":"https://doi.org/10.3233/HIS-2009-0074","url":null,"abstract":"Efficient routing algorithms are very important for the operation of communication networks, including the Internet. This article proposes a novel hybrid intelligent method for routing which combines Hopfield neural networks (HNN) and simulated annealing (SA). The proposed method introduces a modified version of the discrete-time equation used by Bastos-Filho et al [1]. The novel version of the equation aims to improve the HNN convergence, thereby decreasing the computation cost. In our method, the SA algorithm is used to obtain the optimal parameters of the HNN. Simulations reported in this paper shows that the proposed method outperforms the method of Bastos-Filho et al [1], by computing routes using smaller number of iterations and smaller error.","PeriodicalId":359991,"journal":{"name":"7th International Conference on Hybrid Intelligent Systems (HIS 2007)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114983243","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ricardo Martins de Abreu Silva, F. L. Valentim, M. Alves
{"title":"Bayesian approaching for Asian Suprema soybean rust incidence study in different conditions of temperatures and leaf wetness","authors":"Ricardo Martins de Abreu Silva, F. L. Valentim, M. Alves","doi":"10.1109/HIS.2007.71","DOIUrl":"https://doi.org/10.1109/HIS.2007.71","url":null,"abstract":"The Asian soybean rust (Phakopsora pachyrhizi H. Sydow & P. Sydowj, which has been reported in areas of tropical and subtropical climates around the world, causes significant soybean (Glycine max L. Merr.) yield reduction. The disease progress is influenced by biotic factors such as interaction pathogen/host and abiotic factors of the environment. This work presents three models using bayesian approach to study Asian Suprema soybean rust incidence in different temperature and leaf wetness conditions. The models present estimates equivalents to non-linear regression model of Reis et al, fuzzy model of Alves et al and neuro-fuzzy model of Silva et al, when compared on the results from experimental design realized by Alves et al.","PeriodicalId":359991,"journal":{"name":"7th International Conference on Hybrid Intelligent Systems (HIS 2007)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127590176","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"MacZ - A Quality-of-Service MAC Layer for Ad-hoc Networks","authors":"Philipp Becker, R. Gotzhein, T. Kuhn","doi":"10.1109/HIS.2007.28","DOIUrl":"https://doi.org/10.1109/HIS.2007.28","url":null,"abstract":"In this paper, we present a new MAC layer called MacZ, specifically devised for flexible QoS support in mobile ad- hoc networks. MacZ provides multi-hop tick synchronization, network-wide medium slotting, contention-free transmission with global reservations, contention-based transmission with priorities, and is robust against topology changes. We describe the main functionalities of MacZ, show results of performance simulations that provide evidence for the effectiveness of the QoS mechanisms, and discuss related MAC layers.","PeriodicalId":359991,"journal":{"name":"7th International Conference on Hybrid Intelligent Systems (HIS 2007)","volume":"60 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131776290","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Fiber Orientation Estimation from 3D Image Data: Practical Algorithms, Visualization, and Interpretation","authors":"K. Robb, O. Wirjadi, K. Schladitz","doi":"10.1109/HIS.2007.26","DOIUrl":"https://doi.org/10.1109/HIS.2007.26","url":null,"abstract":"Fibrous materials such as fiber-reinforced composites are finding increasing application in the automotive, aerospace, and other industries. Fiber arrangements and defects at microscopic scales have direct impact on their stability. Two-dimensional images obtained by either non-destructive or destructive imaging cannot reveal the full fiber orientation information. Therefore, three-dimensional images obtained by micro computed tomography (muCT) are used. Since segmentation of these image datasets is often difficult due to low contrast, we propose a linear filtering scheme to extract local fiber orientations. Efficient implementations of these filters have been proposed, resulting in prac tical algorithms with acceptable runtimes in the scale of minutes to at most a few hours for common tomographic image sizes. We show how to condense the local orientation information into visual representations. In contrast to existing 3D orientation estimation methods, our method results in densely sampled orientation maps. The proposed method is applied to images of two different fiber materials and compared to orientation estimates based on measures obtained from integral geometry. We show conformance of the proposed orientation estimation methods with these known methods.","PeriodicalId":359991,"journal":{"name":"7th International Conference on Hybrid Intelligent Systems (HIS 2007)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130040678","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Active Selection of Training Examples for Meta-Learning","authors":"R. Prudêncio, Teresa B Ludermir","doi":"10.1109/HIS.2007.17","DOIUrl":"https://doi.org/10.1109/HIS.2007.17","url":null,"abstract":"Meta-learning has been used to relate the performance of algorithms and the features of the problems being tackled. The knowledge in meta-learning is acquired from a set of meta-examples which are generated from the empirical evaluation of the algorithms on problems in the past. In this work, active learning is used to reduce the number of meta-examples needed for meta-learning. The motivation is to select only the most relevant problems for meta-example generation, and consequently to reduce the number of empirical evaluations of the candidate algorithms. Experiments were performed in two different case studies, yielding promising results.","PeriodicalId":359991,"journal":{"name":"7th International Conference on Hybrid Intelligent Systems (HIS 2007)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114122165","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Control Method of a P2P Network with Small Degree and Diameter","authors":"Yusuke Sasaki, H. Miwa","doi":"10.1109/HIS.2007.10","DOIUrl":"https://doi.org/10.1109/HIS.2007.10","url":null,"abstract":"In this paper, we propose a control method of a P2P network based on a DHT with its maximum degree 4 for routing and its diameter lceillog2 nrceil where n is the number of nodes. In previous methods, the maximum degree or the diameter is only probabilistically bounded. As the degree of a vertex is the number of the neighbor nodes, a node with a large degree suffers high load to transfer many queries. Even if the average degree is bounded, the loads of some nodes with large degrees are exponentially high. As the diameter of a network is the worst distance, a large diameter causes bad response time. Even if the average diameter is bounded, the performance between two nodes apart from each other is always bad. Therefore, it is important that the degrees and the diameter are always small. We show that the proposed method has this good property.","PeriodicalId":359991,"journal":{"name":"7th International Conference on Hybrid Intelligent Systems (HIS 2007)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116055849","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Ant Colony Optimization: Introduction and Hybridizations","authors":"C. Blum","doi":"10.1109/HIS.2007.36","DOIUrl":"https://doi.org/10.1109/HIS.2007.36","url":null,"abstract":"This paper contains complimentary material to the tutorial \"ant colony optimization: introduction and hybridizations\" given by the author at HIS 2007, Kaiserslautern, Germany. First, ant colony optimization is shortly introduced. Then, successful recent hybridizations of ant colony optimization algorithms with other techniques for optimization are reviewed.","PeriodicalId":359991,"journal":{"name":"7th International Conference on Hybrid Intelligent Systems (HIS 2007)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124084807","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Visual Object Class Recognition combining Generative and Discriminative Methods","authors":"B. Schiele","doi":"10.1109/HIS.2007.76","DOIUrl":"https://doi.org/10.1109/HIS.2007.76","url":null,"abstract":"Summary form only given. We describe various approaches capable of simultaneous recognition and localization of multiple object classes using a combination of generative and discriminative methods. A first approach uses a novel hierarchical representation allows to represent individual images as well as various objects classes in a single similarity invariant model. The recognition method is based on a codebook representation where appearance clusters built from edge based features are shared among several object classes. A probabilistic model allows for reliable detection of various objects in the same image. A second approach uses a dense representation and a topic distribution model to obtain an intermediate and general representation that is shared across object categories. Combined with discriminative methods these systems show excellent performance on several object categories.","PeriodicalId":359991,"journal":{"name":"7th International Conference on Hybrid Intelligent Systems (HIS 2007)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124716626","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}