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عنوان مقاله نویسنده (ها) مربوط به کنفرانس چکیده
A New Evolutionary Algorithm for Structure Learning in Bayesian Networks A. R. Khanteymoori
M. B. Menhaj
M. M. Homayounpour
چهاردهمین کنفرانس بین‌المللی سالانه انجمن کامپیوتر ایران
A new structure learning approach for Bayesian networks (BNs) based on asexual reproduction optimization (ARO) is proposed in this paper. ARO can be essentially considered as an evolutionary based algorithm that mathematically models the ... مشاهده کامل
A new structure learning approach for Bayesian networks (BNs) based on asexual reproduction optimization (ARO) is proposed in this paper. ARO can be essentially considered as an evolutionary based algorithm that mathematically models the budding mechanism of asexual reproduction. In ARO, a parent produces a bud through a reproduction operator; thereafter the parent and its bud compete to survive according to a performance index obtained from the underlying objective function of the optimization problem; this leads to the fitter individual. The proposed method is applied to real-world and benchmark applications, while its effectiveness is demonstrated through computer simulation. Results of simulation show that ARO outperforms GA because ARO results good structure in comparison with GA and the speed of convergence in ARO is more than GA. Finally, the ARO performance is statistically shown. عدم مشاهده کامل
A new structure learning approach for Bayesian networks (BNs) based on asexual reproduction optimization (ARO) is proposed in this paper. ARO can be essentially considered as an evolutionary based algorithm that mathematically models the ... مشاهده کامل
خرید مقاله
A New Real-Time Target Tracking Algorithm in Image Sequences Based on Wavelet Transform A. Mehdi
R. R. Ggholam-ali
چهاردهمین کنفرانس بین‌المللی سالانه انجمن کامپیوتر ایران
This paper estimates and segments the moving objects based on center of mass model to decrease the search window and to provide a new algorithm, which achieves an accurate and rapid tracking. Furthermore, a ... مشاهده کامل
This paper estimates and segments the moving objects based on center of mass model to decrease the search window and to provide a new algorithm, which achieves an accurate and rapid tracking. Furthermore, a novel method is proposed to update the template size adaptively by using estimation and segmentation of moving objects. The estimated results of moving target is transformed to wavelet domain and target tracking is performed in that domain. To improve the algorithm center of mass model is performed in wavelet domain. By using kalman predictor and thresholding method, a new approach is presented for object tracking failure and recovery. عدم مشاهده کامل
This paper estimates and segments the moving objects based on center of mass model to decrease the search window and to provide a new algorithm, which achieves an accurate and rapid tracking. Furthermore, a ... مشاهده کامل
خرید مقاله
Effective Tracking of the Players and Ball in Indoor Soccer Games in the Presence of Occlusion Soudeh Kasiri-Bidhendi
Reza Safabakhsh
چهاردهمین کنفرانس بین‌المللی سالانه انجمن کامپیوتر ایران
Object tracking is one of the major subjects in machine vision and plays a main role in detection of major events in indoor soccer matches. In this paper, a novel approach for tracking ... مشاهده کامل
Object tracking is one of the major subjects in machine vision and plays a main role in detection of major events in indoor soccer matches. In this paper, a novel approach for tracking the ball and players is proposed. In this method, the ground lines are segmented and eliminated using a fast and effective method. Then, the remaining non-field pixels are considered and labeled as players and the ball. A fast level set contour is used to track players and the ball. The proposed method can track players and the ball in presence of occlusion. Experiments show that the proposed method is robust to occlusion and different field colors. عدم مشاهده کامل
Object tracking is one of the major subjects in machine vision and plays a main role in detection of major events in indoor soccer matches. In this paper, a novel approach for tracking ... مشاهده کامل
خرید مقاله
Adaptive Target Tracking in Sensor Networks Using Reinforcement Learning Mohammad Rahimi
Reza Safabakhsh
چهاردهمین کنفرانس بین‌المللی سالانه انجمن کامپیوتر ایران
This paper, proposes the use of a reinforcement learning approach for a target tracking sensor network application. Harsh and unpredictable situations of sensor nodes in such an application requires a selftuning mechanism for the ... مشاهده کامل
This paper, proposes the use of a reinforcement learning approach for a target tracking sensor network application. Harsh and unpredictable situations of sensor nodes in such an application requires a selftuning mechanism for the nodes to adapt their behavior over time. The method is examined under high dynamic network conditions and compared with a similar method called SORA over different performance measures. The results show a significant improvement over the compared method in the environments with high level of dynamism. عدم مشاهده کامل
This paper, proposes the use of a reinforcement learning approach for a target tracking sensor network application. Harsh and unpredictable situations of sensor nodes in such an application requires a selftuning mechanism for the ... مشاهده کامل
خرید مقاله
Support Vector Machines for Speaker Based Speech Indexing M. H. Moattar
M. M. Homayounpour
چهاردهمین کنفرانس بین‌المللی سالانه انجمن کامپیوتر ایران
This paper proposes an integrated framework for speaker indexing which includes both speaker segmentation and speaker clustering. Speaker indexing systems has wide domains of application with different requirements which make a general speaker indexing framework ... مشاهده کامل
This paper proposes an integrated framework for speaker indexing which includes both speaker segmentation and speaker clustering. Speaker indexing systems has wide domains of application with different requirements which make a general speaker indexing framework hard to accomplish. The main source of performance degradation in speaker indexing is the probable existence of short speech utterances which makes the speaker turns hard to distinguish and also exposes the segment modeling to data insufficiency. This paper introduces a speaker indexing framework with high average performance which uses Support Vector Machines (SVM) as the core approach. The main contribution of this framework is the SVM based clustering approach which makes the indexing more robust against the short speech segments. This framework is evaluated on a domestic conversational speech dataset and the results were satisfactory. عدم مشاهده کامل
This paper proposes an integrated framework for speaker indexing which includes both speaker segmentation and speaker clustering. Speaker indexing systems has wide domains of application with different requirements which make a general speaker indexing framework ... مشاهده کامل
خرید مقاله
Speaker Clustering Performance Improvement using Eigen-Voice Speaker Adaptation M. H. Moattar
M. M. Homayounpour
چهاردهمین کنفرانس بین‌المللی سالانه انجمن کامپیوتر ایران
One of the most important phases of speaker indexing is speaker clustering which aims to find the number of speakers in a speech document and merge the speech segments corresponding to a single ... مشاهده کامل
One of the most important phases of speaker indexing is speaker clustering which aims to find the number of speakers in a speech document and merge the speech segments corresponding to a single speaker. The most critical source of problem in speaker clustering is the speech segments duration which may be so short that proper segment modeling becomes hard to achieve. An alternative suggestion in these situations is to adapt global models with new data instead of building the speaker models from the ground. In this paper we investigate two adaptation techniques in eigen-voice space for improving clustering performance especially for shorter speech utterances. These techniques were embedded in a clustering framework and evaluated on a set of domestic conversational speech. We have also compared the proposed methods with some other known techniques. The experiments show a considerable improvement in speaker clustering performance. عدم مشاهده کامل
One of the most important phases of speaker indexing is speaker clustering which aims to find the number of speakers in a speech document and merge the speech segments corresponding to a single ... مشاهده کامل
خرید مقاله
Face recognition using Local Multi Dimensional Statistics Roghayeh Alemy
Mohammad Ebrahim Shiri
Farzad Didehvar
Zaynab Hajimohammadi
چهاردهمین کنفرانس بین‌المللی سالانه انجمن کامپیوتر ایران
Though numerous approaches have been proposed for face recognition. In this paper we propose a novel face recognition approach based on adaptively weighted patch Local Statistic in Multi dimensional (LMDS) when only one exemplar ... مشاهده کامل
Though numerous approaches have been proposed for face recognition. In this paper we propose a novel face recognition approach based on adaptively weighted patch Local Statistic in Multi dimensional (LMDS) when only one exemplar image per person is available. In this approach, a face image is decomposed into a set of equal-sized patches in a nonoverlapping way. In order to obtain Local Multi Dimensional Statistic Features in each patch, we calculated mean and standard deviation of all pixels along some directions. An adaptively weighting scheme is used to assign proper weights to each LMDS features to adjust the contribution of each local area of a face in terms of the quantity of identity information that a patch contains. An extensive experimental investigation is conducted using AR face databases covering face recognition under controlled/ideal conditions and different facial expressions. The system performance is compared with the performance of four benchmark approaches. The encouraging experimental results demonstrate that our approach can be used for face recognition and patch-based local statistic features provides a novel way for face. عدم مشاهده کامل
Though numerous approaches have been proposed for face recognition. In this paper we propose a novel face recognition approach based on adaptively weighted patch Local Statistic in Multi dimensional (LMDS) when only one exemplar ... مشاهده کامل
خرید مقاله
English to Persian Machine Translation exploiting Semantic Word Sense Disambiguation Yasaman Motazedi
Mehnoush Shamsfard
چهاردهمین کنفرانس بین‌المللی سالانه انجمن کامپیوتر ایران
PEnT1 is an automatic English to Persian text translator. It translates simple English sentences into Persian, exploiting a combination of rule based and semantic approaches. It covers all the twelve tenses in English in ... مشاهده کامل
PEnT1 is an automatic English to Persian text translator. It translates simple English sentences into Persian, exploiting a combination of rule based and semantic approaches. It covers all the twelve tenses in English in both passive and active verbs for indicative, negative, interrogative sentences. In this paper, introducing PEnT1, we propose a new WSD method by presenting a hybrid measure to score different senses of a word. We also discuss prototyping some linguistic resources to test our methods. عدم مشاهده کامل
PEnT1 is an automatic English to Persian text translator. It translates simple English sentences into Persian, exploiting a combination of rule based and semantic approaches. It covers all the twelve tenses in English in ... مشاهده کامل
خرید مقاله
A Novel Vehicle Tracking Method with Occlusion Handling Using Longest Common Substring of Chain-Codes Elham Shabani Nia
Shohreh Kasaei
چهاردهمین کنفرانس بین‌المللی سالانه انجمن کامپیوتر ایران
Vehicle tracking is an essential requirement of any vision based Intelligent Transportation System for extracting different traffic parameters, efficiently. Handling inter-object occlusion is the most challenging part of tracking as a process of finding and ... مشاهده کامل
Vehicle tracking is an essential requirement of any vision based Intelligent Transportation System for extracting different traffic parameters, efficiently. Handling inter-object occlusion is the most challenging part of tracking as a process of finding and following interested objects in a sequence of video frames. In this paper we present a system, based on code-book background model for motion segmentation and Kalman filter for tracking with a new approach for occlusion. This approach separates occluded vehicles based on longest common substring of chain codes. We use this tracking system to estimate some traffic parameters. Experimental results show the efficiency of the method عدم مشاهده کامل
Vehicle tracking is an essential requirement of any vision based Intelligent Transportation System for extracting different traffic parameters, efficiently. Handling inter-object occlusion is the most challenging part of tracking as a process of finding and ... مشاهده کامل
خرید مقاله
High Maneuvering Target Tracking Using Fuzzy Fading Memory Mohamad Hasan Bahari
Asad Azemi
Naser Pariz
Said Khorashadi Zadeh
Seyed Mohsen Davarpanah
چهاردهمین کنفرانس بین‌المللی سالانه انجمن کامپیوتر ایران
In this paper, a new fuzzy fading memory (FFM) is developed in order to aid a modified input estimation (MIE) technique and enhance its performance in tracking high maneuvering targets. The MIE has ... مشاهده کامل
In this paper, a new fuzzy fading memory (FFM) is developed in order to aid a modified input estimation (MIE) technique and enhance its performance in tracking high maneuvering targets. The MIE has been introduced recently and performs well in tracking low and medium maneuvering targets. However, due to some modeling errors, the accuracy of this tracker may be seriously degraded in presence of high maneuvers. To cope with this difficulty, an intelligent approach based on FFM is presented in this paper. Simulation results prove the efficiency of the proposed method in tracking high maneuvering targets. عدم مشاهده کامل
In this paper, a new fuzzy fading memory (FFM) is developed in order to aid a modified input estimation (MIE) technique and enhance its performance in tracking high maneuvering targets. The MIE has ... مشاهده کامل
خرید مقاله
۲٨٦۱ نتیجه (صفحه ۱۱۱ از ۲٨٧)
کنفرانس‌ها و رخدادها
آرشیو کنفرانس‌ها
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