{"title":"A short term and long term learning based on Fuzzy Transaction Repository and feature re-weighting","authors":"M. Javidi, H. Pourreza, H. Yazdi, H. Foroughi","doi":"10.1109/ICCP.2008.4648360","DOIUrl":"https://doi.org/10.1109/ICCP.2008.4648360","url":null,"abstract":"In this paper, we introduce a combined relevance feedback approach for image retrieval using semantic similarity based on fuzzy transaction repository and feature re-weighting technique. This system accumulates user interactions using soft feedback model to construct fuzzy transaction repository (FTR). The repository remembers the userpsilas intent and therefore provides a better representation of each image in the database in terms of the semantic meanings. The semantic similarity between the query image and each database image can then be computed using the current feedbacks and the semantic values in the FTR. Furthermore, feature re-weighting is applied on the session-term feedback to learn weight of low level features. Then we use the weighted Euclidean distance metric to measure the distance between the query image and each database image. These two similarity measures are normalized and combined together to form the overall similarity measure. Our experimental results show that the average precision of the proposed system exceeds 83% after three iterations.","PeriodicalId":169031,"journal":{"name":"2008 4th International Conference on Intelligent Computer Communication and Processing","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128801573","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":"Generating logic-based representations for programs","authors":"C. Jebelean, Ciprian-Bogdan Chirila, A. Mǎdutǎ","doi":"10.1109/ICCP.2008.4648366","DOIUrl":"https://doi.org/10.1109/ICCP.2008.4648366","url":null,"abstract":"Modern software engineering has come to a point where it deals with quite large and complex software artifacts. Labor-intensive activities such as code analysis and code transformation are becoming less and less tractable on such enormous software systems unless a certain level of automatization is provided. Since automatic approaches of code analysis and code transformation strongly rely on software models instead of actual software systems, the software modeling process is of vital interest to a great deal of researchers in the software engineering community. However, the main drawback of most of the software modeling tools available is the fact that they are aimed at software systems written in a certain programming language. This article introduces ProGen, a software tool capable of modeling software systems written in any language for which a plain JAVACC grammar is available, also describing its advantages and limitations.","PeriodicalId":169031,"journal":{"name":"2008 4th International Conference on Intelligent Computer Communication and Processing","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115285732","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":"Tracking of polyhedral objects","authors":"S. Curilă, C. Gordan, M. Curila","doi":"10.1109/ICCP.2008.4648355","DOIUrl":"https://doi.org/10.1109/ICCP.2008.4648355","url":null,"abstract":"Here, we address the problem of tracking of polyhedral objects in images from traffic scene. The matching of the model is achieved by minimizing the distance between the projected segments of the 3D model and the segments extracted in the 2D image. The success depends on the global optimization of the cost function that quantifies the quality of alignment. The existence of numerous local minima makes it impossible to locate the global solution. In this study, we propose an effective global optimization strategy to overcome this problem. Results on simulated and real images are presented.","PeriodicalId":169031,"journal":{"name":"2008 4th International Conference on Intelligent Computer Communication and Processing","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122408797","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":"Comparative semantics for modern communication abstractions","authors":"E. Todoran","doi":"10.1109/ICCP.2008.4648367","DOIUrl":"https://doi.org/10.1109/ICCP.2008.4648367","url":null,"abstract":"In this paper we employ the mathematical methodology of metric semantics in designing and relating an operational and a denotational semantics for a simple imperative distributed language LJ . LJ is a CSP-like language extended by us with communication on multiple channels and synchronization based on join patterns in the style of Join calculus. The semantic models are designed with a continuation semantics for parallel and distributed computing, introduced by us in previous work. The flexibility of continuations appears to be essential for the success of our semantic design. As far as we know, this is the first paper that reports a denotational semantics for a language with communication a la Join calculus.","PeriodicalId":169031,"journal":{"name":"2008 4th International Conference on Intelligent Computer Communication and Processing","volume":"18 12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133654679","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":"Multi agent trust for belief combination on the Semantic Web","authors":"M. Nagy, M. Vargas-Vera, E. Motta","doi":"10.1109/ICCP.2008.4648382","DOIUrl":"https://doi.org/10.1109/ICCP.2008.4648382","url":null,"abstract":"Software agents that assess similarities between concepts on the semantic Web has to deal with scenarios where the beliefs in the assessed similarities becomes contradicting. The combination of these contradicting beliefs can easily worsen the mapping precision and recall, which leads to poor performance of any ontology mapping algorithm. Typically mapping algorithms, which use different similarities and combine them into a more reliable and coherent view can easily become unreliable when these contradictions are not managed effectively between the different sources. In this paper we propose a solution based on the fuzzy voting model for managing such situations by introducing trust and voting between software agents that resolve contradicting beliefs in the assessed similarities.","PeriodicalId":169031,"journal":{"name":"2008 4th International Conference on Intelligent Computer Communication and Processing","volume":"11 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120991644","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":"The imagistic textural model of the prostatic adenocarcinoma","authors":"D. Mitrea, S. Nedevschi, B. Petrut, I. Coman","doi":"10.1109/ICCP.2008.4648361","DOIUrl":"https://doi.org/10.1109/ICCP.2008.4648361","url":null,"abstract":"The prostatic adenocarcinoma (ADKP) is the most frequent neoplasy and also the major cause of death for men in United States. Detecting this tumor by human eye from biomedical images is difficult and invasive methods like the prostate needle biopsy are dangerous for the patient. The aim of our research is to develop reliable, non-invasive, computerized methods in order to provide an accurate characterization of ADKP through textural features extracted from ultrasound images, for the final purpose of automatic diagnosis. Thus, in our previous works, we defined the textural imagistic model of ADKP, consisting in the non-redundant set of the best textural features appropriate for ADKP characterization and in the statistical parameters associated to each relevant feature. In this work, we extend the textural imagistic model of ADKP by adding new, more expressive textural features and by improving the feature selection methods through combining them in an efficient manner.","PeriodicalId":169031,"journal":{"name":"2008 4th International Conference on Intelligent Computer Communication and Processing","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122676274","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":"Event analysis and interpretation of human activity for augmented reality-based assistant systems","authors":"A. Bannat, J. Gast, G. Rigoll, F. Wallhoff","doi":"10.1109/ICCP.2008.4648347","DOIUrl":"https://doi.org/10.1109/ICCP.2008.4648347","url":null,"abstract":"In this paper a concept and its implementation of an ergonomic cognitive assistant system for supporting human workers at complex assembly tasks in industrial environments is introduced. Depending on the level of the userpsilas product knowledge this mixed-initiative system follows and gains knowledge from the human workerpsilas construction steps while it is also able to automatically give hints and instruct the worker whenever needed. The presented agent bases on a closed human-machine interaction loop consisting of the multimodal perception of the workerpsilas action, the comparison with the systempsilas knowledge about the production task, and the displaying of the adequate next assembly instruction step. First experimental results of the assistant system are demonstrated on a simplified use case with the construction of a small toy car using augmented reality display techniques.","PeriodicalId":169031,"journal":{"name":"2008 4th International Conference on Intelligent Computer Communication and Processing","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129052935","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":"Object tracking from stereo sequences using particle filter","authors":"G. Cătălin, S. Nedevschi","doi":"10.1109/ICCP.2008.4648386","DOIUrl":"https://doi.org/10.1109/ICCP.2008.4648386","url":null,"abstract":"In this paper we present a vehicle tracking particle filter system based on gray histogram and sparse optical flow detection in stereo images. The proposed approach is based on the fact that for 2D tracked features we can compute their 3D correspondences, which are used for particle filter tracking improvement. The goal of this paper is to show how vision based particle filter tracking, optical flow and stereovision can be integrated to work together in order to achieve a robust object tracking algorithm.","PeriodicalId":169031,"journal":{"name":"2008 4th International Conference on Intelligent Computer Communication and Processing","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132000989","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":"Global Gabor features for rotation invariant object classification","authors":"I. Buciu, I. Nafornita, I. Pitas","doi":"10.1109/ICCP.2008.4648352","DOIUrl":"https://doi.org/10.1109/ICCP.2008.4648352","url":null,"abstract":"The human visual system can rapidly and accurately recognize a large number of various objects in cluttered scenes under widely varying and difficult viewing conditions, such as illuminations changing, occlusion, scaling or rotation. One of the state-of-the-art feature extraction techniques used in image recognition and processing is based on the Gabor wavelet model. This paper deals with the application of the aforementioned model for object classification task with respect to the rotation issue. Three training sample sizes were applied to assess the methodpsilas performance. Experiments ran on the COIL-100 database show the robustness of the Gabor approach when globally applied to extract relevant discriminative features. The method out-performs other state-of-the-art techniques compared in the paper such as, principal component analysis (PCA) or linear discriminant analysis (LDA).","PeriodicalId":169031,"journal":{"name":"2008 4th International Conference on Intelligent Computer Communication and Processing","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128456444","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 tracking with filtering algorithms","authors":"B. Bócsi, L. Csató","doi":"10.1109/ICCP.2008.4648384","DOIUrl":"https://doi.org/10.1109/ICCP.2008.4648384","url":null,"abstract":"We present a comparative study of object tracking algorithms using filtering methods. We detail the underlying model assumptions the different algorithms use, measure their operation performance, and compare them in real environmental settings. The comparison is based on several different criteria, including both the computational time and the performance of the tracker. We study a restricted family of methods, called filters. We compare the Kalman filter, unscented Kalman filter and the particle filtering methods. Based on real-world settings, some conclusions are drawn about the usability of the algorithms. We outline the conditions when a given algorithm becomes efficient.","PeriodicalId":169031,"journal":{"name":"2008 4th International Conference on Intelligent Computer Communication and Processing","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125391954","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}