2015 The International Symposium on Artificial Intelligence and Signal Processing (AISP)最新文献_第4页

Bidirectional ant colony optimization for feature selection 特征选择的双向蚁群优化

2015 The International Symposium on Artificial Intelligence and Signal Processing (AISP) Pub Date : 2015-03-03 DOI: 10.1109/AISP.2015.7123519

Hossein Yeganeh Markid, Behrouz Zamani Dadaneh, M. Moghaddam

{"title":"Bidirectional ant colony optimization for feature selection","authors":"Hossein Yeganeh Markid, Behrouz Zamani Dadaneh, M. Moghaddam","doi":"10.1109/AISP.2015.7123519","DOIUrl":"https://doi.org/10.1109/AISP.2015.7123519","url":null,"abstract":"Feature selection is the process of choosing a subset of relevant as well as irredundant features from a bigger set. In other words, it removes redundant and irrelevant features from original set. In this paper, a new algorithm which is called bidirectional ant colony optimization feature selection (BDACOFS) based on ant colony optimization (ACO) algorithm and inspired from ACOFS (a recently proposed feature selection method) is presented. In the proposed algorithm, problem is modeled by a circular graph in which every node has only two arcs to its subsequent node. One of arcs represents selecting and another implies deselecting the next node. In addition, heuristic desirability of every node's selection is calculated according to two factors; one is related to discrimination ability of features and second one is related to mutual information among features. The proposed algorithm has been tested against some well-known datasets and its performance has been compared to some well-known algorithms. The result indicates that proposed algorithm by adding mutual statistical information to its heuristic desirability could remove more redundant features than original ACOFS. Meanwhile it keeps classification accuracy as highly as the original ACOFS.","PeriodicalId":405857,"journal":{"name":"2015 The International Symposium on Artificial Intelligence and Signal Processing (AISP)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122873695","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}

引用次数: 7

Detection of regional copy/move forgery in MPEG videos using optical flow 利用光流检测MPEG视频中的区域复制/移动伪造

2015 The International Symposium on Artificial Intelligence and Signal Processing (AISP) Pub Date : 2015-03-03 DOI: 10.1109/AISP.2015.7123529

Amir Bidokhti, S. Ghaemmaghami

引用次数: 34

New approach to synchronization of two different fractional-order chaotic systems 两个不同分数阶混沌系统同步的新方法

2015 The International Symposium on Artificial Intelligence and Signal Processing (AISP) Pub Date : 2015-03-03 DOI: 10.1109/AISP.2015.7123510

Reza Behinfaraz, M. Badamchizadeh

引用次数: 11

Integration of recursive structure of hopfield and ontologies for query expansion hopfield递归结构与本体的集成，用于查询扩展

2015 The International Symposium on Artificial Intelligence and Signal Processing (AISP) Pub Date : 2015-03-03 DOI: 10.1109/AISP.2015.7123536

A. Noroozi, R. Malekzadeh

{"title":"Integration of recursive structure of hopfield and ontologies for query expansion","authors":"A. Noroozi, R. Malekzadeh","doi":"10.1109/AISP.2015.7123536","DOIUrl":"https://doi.org/10.1109/AISP.2015.7123536","url":null,"abstract":"One of the ways to enhance the information retrieval performance is query expansion (QE) which means adding some terms to the query in order to reduce mismatch between information needs and retrieved documents. In this way “Query Drift” occurring for ambiguous queries is a common problem. Special case of this problem is “Outweighting” that usually occurs for long queries, that is, some augmented words strongly related to an individual query words but not to the all. In this paper we propose a new method for QE to reduce the effects of disambiguated query terms and decrease query drifting. In proposed method for word outweighting elimination, query terms are grouped based on their semantic relationships. For each group, candidates are fetched from WordNet that relates to the all of words group. Then by using recursive structure of Hopfield network words with the most relationship with other words are selected. Moreover, the Term Semantic Network has used to overcome some of the shortcomings of WordNet. Evaluation results on CACM and CERC test collections show that the proposed method is effective and improve 4% and 12% of Mean Average Precision respectively.","PeriodicalId":405857,"journal":{"name":"2015 The International Symposium on Artificial Intelligence and Signal Processing (AISP)","volume":"84 9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131069156","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}

引用次数: 3

HJDLBP: A novel texture descriptor and its application in face recognition HJDLBP:一种新的纹理描述子及其在人脸识别中的应用

2015 The International Symposium on Artificial Intelligence and Signal Processing (AISP) Pub Date : 2015-03-03 DOI: 10.1109/AISP.2015.7123511

S. M. Tabatabaei, Abdollah Chalechale

{"title":"HJDLBP: A novel texture descriptor and its application in face recognition","authors":"S. M. Tabatabaei, Abdollah Chalechale","doi":"10.1109/AISP.2015.7123511","DOIUrl":"https://doi.org/10.1109/AISP.2015.7123511","url":null,"abstract":"Local binary pattern (LBP) is a simple and computationally efficient texture descriptor which has been attracting many attentions since its introduction; due to the extensive research done in this regard, diverse variants of LBP have been introduced in recent years. While original form of this operator encodes structures like spots, edges, and corners in form of a binary code, a more recent type of LBP called high order directional derivative LBP (DLBP) reveals some alternative structures such as convexities and concavities. Even though these structures are important features in the images, another significant consideration is the relationship between them. For instance, there is a high probability that an edge structure be present near another one. In this paper, we have introduced a novel texture descriptor named HJDLBP (high order joint DLBP) which is able to encode relationships between micro patterns in addition to the prevalent structures. To evaluate the proposed descriptor, we have considered two renowned JAFFE and YALE facial image databases and then exploited the proposed texture descriptor for face recognition issues. The experiments are implemented in software in the following manner: as a first step, the face part of each image is segmented from its background using Viola and Jones algorithm. Afterward, the micro patterns and relationships between them are extracted from rectangularly partitioned face images; and their histograms are constructed as well. Finally, a group of SVMs are trained for classification. We have compared obtained results using the new operator with the results attained when conventional LBP and high order DLBP are applied for feature extraction from image blocks. The comparative results show the efficacy of the proposed operator as a texture descriptor.","PeriodicalId":405857,"journal":{"name":"2015 The International Symposium on Artificial Intelligence and Signal Processing (AISP)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130037272","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}

引用次数: 2

Improve word sense disambiguation by proposing a pruning method for optimizing conceptual density's contexts 提出了一种优化概念密度上下文的剪枝方法，改进了词义消歧

2015 The International Symposium on Artificial Intelligence and Signal Processing (AISP) Pub Date : 2015-03-03 DOI: 10.1109/AISP.2015.7123502

A. Golkar, S. Jafari, M. Golkar, Seyed Mohammad Sadegh Dashti, S. M. Fakhrahmad

引用次数: 1

Automatic multiple regions segmentation of dermoscopy images 皮肤镜图像的自动多区域分割

2015 The International Symposium on Artificial Intelligence and Signal Processing (AISP) Pub Date : 2015-03-03 DOI: 10.1109/AISP.2015.7123482

Fahimeh Sadat Saleh, R. Azmi

{"title":"Automatic multiple regions segmentation of dermoscopy images","authors":"Fahimeh Sadat Saleh, R. Azmi","doi":"10.1109/AISP.2015.7123482","DOIUrl":"https://doi.org/10.1109/AISP.2015.7123482","url":null,"abstract":"Skin lesion segmentation is one of the most important steps in automated early skin cancer detection, since the accuracy of the following steps significantly depends on it. In this paper, a two-stage approach based on Mean Shift and spectral graph partitioning algorithms is proposed. This method effectively extracts lesion borders. Moreover, a distinctive advantage of this approach is extracting the region of interest levels that is not addressed in pervious state of the art methods. In the first stage, the image is segmented to regions using Mean Shift algorithm. In the second stage, a graph-based representation is used to demonstrate the structure of the extracted regions and their relationships. Afterwards a clustering process is applied, considering the neighborhood system and analyzing the color and texture distance between regions. The proposed method is applied to 170 dermoscopic images and evaluated with two different metrics. This evaluation has performed by means of the segmentation results provided by an experienced dermatologist as the ground truth. Experiments demonstrate that in this method, challenging features of skin lesions are handled as might be expected when compared to five state of the art methods.","PeriodicalId":405857,"journal":{"name":"2015 The International Symposium on Artificial Intelligence and Signal Processing (AISP)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124839046","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}

引用次数: 3

Authentic modeling of complex dynamics of biological systems by the manipulation of artificial intelligence 由人工智能操纵的生物系统复杂动力学的真实建模

2015 The International Symposium on Artificial Intelligence and Signal Processing (AISP) Pub Date : 2015-03-03 DOI: 10.1109/AISP.2015.7123513

Razieh Falahian, M. M. Dastjerdi, S. Gharibzadeh

{"title":"Authentic modeling of complex dynamics of biological systems by the manipulation of artificial intelligence","authors":"Razieh Falahian, M. M. Dastjerdi, S. Gharibzadeh","doi":"10.1109/AISP.2015.7123513","DOIUrl":"https://doi.org/10.1109/AISP.2015.7123513","url":null,"abstract":"The recent meteoric significant developments in the biological and medical sciences have been the culmination of substantial efforts devoted to precisely modeling the behavior of biological systems and their responses to various stimuli. The complicated interactions within varied components of biological systems as well as with their environments make them extremely complex nonlinear systems. The results of several contemporary relevant investigations have manifested their chaotic behavioral patterns. With the aim of modeling this specific behavior of bio-systems, we employ a particular multilayer feed-forward neural network. The distinctive feature of our modeling method, which makes it dominant within the modeling techniques, is training the select neural network with the chaotic map extracted from the under-study time series. Our results, which are briefly represented in this paper, confirm that the specified neural network does possess the potentiality to model the chaotic dynamics of biological systems., even in the presence of noise. In pursuance of evaluating our model, we assess and model the chaotic response of the brain to the flicker light through some recorded electroretinogram data.","PeriodicalId":405857,"journal":{"name":"2015 The International Symposium on Artificial Intelligence and Signal Processing (AISP)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116786203","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}

引用次数: 1

An effective algorithm for fingerprint reference point detection based on filed flow curves 基于场流曲线的指纹参考点检测算法

2015 The International Symposium on Artificial Intelligence and Signal Processing (AISP) Pub Date : 2015-03-03 DOI: 10.1109/AISP.2015.7123485

Ali Akbar Nasiri, M. Fathy

引用次数: 3

A systematic framework for dynamically optimizing delay-sensitive wireless transmission 动态优化延迟敏感无线传输的系统框架

2015 The International Symposium on Artificial Intelligence and Signal Processing (AISP) Pub Date : 2015-03-03 DOI: 10.1109/AISP.2015.7123489

Maryam Karimi, M. Dehghan, Seyyed Majid Nourhoseini

引用次数: 0