2015 IEEE 14th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)最新文献

Generating summaries for photographic images based on human affects 基于人的影响为摄影图像生成摘要

2015 IEEE 14th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC) Pub Date : 2015-09-14 DOI: 10.1109/ICCI-CC.2015.7259411

Eun Yi Kim, Eunjeong Ko

{"title":"Generating summaries for photographic images based on human affects","authors":"Eun Yi Kim, Eunjeong Ko","doi":"10.1109/ICCI-CC.2015.7259411","DOIUrl":"https://doi.org/10.1109/ICCI-CC.2015.7259411","url":null,"abstract":"The selection of canonical images that best represent a scene type is very important for efficiently visualizing search results and re-ranking them. The canonical images can be obtained using various aspects including viewpoint, visual features, and semantics. Here, we propose the selection of canonical images based on human affects. The proposed method is performed using three steps: extract the affective features from the input image, cluster images in the affective space and rank the clusters, and find representative images within each cluster. First, the probabilistic affective model is used to transform the images into the affective space. Thereafter, the images are clustered in the affective space. Then, the selected canonical images are representative and distinctive from each other. Thus, we define three prominent properties that an informative summary should satisfy: coverage, affective coherence, and distinctiveness. Based on these, cluster ranking is performed. Finally, the representative images for each cluster are selected, all of which are displayed as canonical images to the user. Experiments using web image databases demonstrate are not only representative but also exhibit a diverse set of views with minimal redundancy.","PeriodicalId":328695,"journal":{"name":"2015 IEEE 14th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127193661","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: 0

Use of Denotational Mathematics for the formal description of autonomous migration and polymorphism as prerequisites for mobility in home UbiHealth 使用指称数学对自主迁移和多态性的形式化描述作为家庭UbiHealth移动的先决条件

2015 IEEE 14th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC) Pub Date : 2015-07-06 DOI: 10.1109/ICCI-CC.2015.7259412

J. Sarivougioukas, Aristides Th. Vagelatos, I. Lagaris

{"title":"Use of Denotational Mathematics for the formal description of autonomous migration and polymorphism as prerequisites for mobility in home UbiHealth","authors":"J. Sarivougioukas, Aristides Th. Vagelatos, I. Lagaris","doi":"10.1109/ICCI-CC.2015.7259412","DOIUrl":"https://doi.org/10.1109/ICCI-CC.2015.7259412","url":null,"abstract":"In the home ubiquitous computing (UbiComp) environment the wirelessly and ad-hoc networked computing devices are connected with sensors and actuators monitoring, recording, and intervening in the performed activities. The unattended applications operating at this environment must be fault tolerant and redundant. However, the lack of standardization and the uncontrolled evolvement of the developed situations at home result in a hostile environment for computer applications. Also, the need to support the individual's mobility at home increases further the level of difficulty of the associated computing efforts. The individual's mobility is supported providing computing services which can migrate from the currently running device to the neighboring one in order to follow every inhabitant's disposition. Migration presupposes the selection of adequate policies supported by the suitable software infrastructure to exploit the conceptual implementation of polymorphism that allows the preservation of functionality while autonomously transferred to another computing device. This paper provides a formal description with Denotational Mathematics of the operational prerequisites of such an autonomous system that achieves the migration of applications for the continuous support of the individual's mobility. The infrastructure must be capable of enforcing strategies and policies related to migration either by transporting the supporting applications or by referencing them. The achievement of the provision of healthcare at the UbiComp home presupposes the continuous support of the individual's mobility.","PeriodicalId":328695,"journal":{"name":"2015 IEEE 14th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121210141","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: 0

Local search for the Traveling Salesman Problem: A comparative study 旅行商问题的本地搜索:比较研究

2015 IEEE 14th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC) Pub Date : 2015-07-06 DOI: 10.1109/ICCI-CC.2015.7259388

Yuezhong Wu, T. Weise, R. Chiong

{"title":"Local search for the Traveling Salesman Problem: A comparative study","authors":"Yuezhong Wu, T. Weise, R. Chiong","doi":"10.1109/ICCI-CC.2015.7259388","DOIUrl":"https://doi.org/10.1109/ICCI-CC.2015.7259388","url":null,"abstract":"The Traveling Salesman Problem (TSP) is one of the most well-studied combinatorial optimization problems. Best heuristics for solving the TSP known today are Lin-Kernighan (LK) local search methods. Recently, Multi-Neighborhood Search (MNS) has been proposed and was demonstrated to outperform Variable Neighborhood Search based methods on the TSP. While LK performs a variable k-opt based search operation, MNS is able to carry out multiple 2-, 3-, or 4-opt moves at once, which are discovered by a highly efficient scan of the current solution. Apart from LK and MNS, many other modern heuristics for TSPs can be found in the relevant literature. However, existing studies rarely use robust statistics for the heuristic algorithms in comparison, let alone investigate their progress over time. This leads to flawed comparisons of simple end-of-run statistics and inappropriate or even incorrect conclusions. In this paper, we thoroughly compare LK and MNS as well as their hybrid versions with Evolutionary Algorithms (EAs) and Population-based Ant Colony Optimization (PACO). This work, to the best of our knowledge, is the first statistically sound comparison of the two efficient heuristics as well as their hybrids with EAs and PACO over time based on a large-scale experimental study. We not only show that hybrid PACO-MNS and PACO-LK are both very efficient, but also find that the full runtime behavior comparison provides deeper and clearer insights whereas a focus of final results could indeed have led to a deceitful conclusion.","PeriodicalId":328695,"journal":{"name":"2015 IEEE 14th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122546350","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: 21

Assessment of functional connectivity in autistic brain fMRI 自闭症脑功能连接的fMRI评估

2015 IEEE 14th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC) Pub Date : 2015-07-06 DOI: 10.1109/ICCI-CC.2015.7259382

Sandhya Chengaiyan, S. Vidhusha, S. GayathriR., B. SnehaPriya, K. Anandan

{"title":"Assessment of functional connectivity in autistic brain fMRI","authors":"Sandhya Chengaiyan, S. Vidhusha, S. GayathriR., B. SnehaPriya, K. Anandan","doi":"10.1109/ICCI-CC.2015.7259382","DOIUrl":"https://doi.org/10.1109/ICCI-CC.2015.7259382","url":null,"abstract":"Autism spectrum disorders (ASD) are associated with disturbances of neural connectivity. Functional connectivity is typically examined within the context of a cognitive task, but also exists in the absence of a task (i.e., “rest”). Connectivity during rest is particularly active in a set of structures called the default network, which includes the posterior cingulate cortex (PCC), lateral parietal cortex/angular gyrus, medical prefrontal cortex, superior frontal gyrus and temporal lobe. Literature suggests that adults with ASD relative to controls show weaker connectivity within the default mode network, indicating that poorer social skills and increases in restricted and repetitive behaviors and interests correlated with weaker connectivity whereas poorer verbal and non-verbal communication correlated with stronger connectivity in multiple areas of the default network. This work has been validated by computing the statistical measures, Granger Causality (GC) and Conditional Granger Causality (CGC) and performing T-tests. Results show that as connectivity decreases, correspondingly the GC and CGC values also get decreased. They are found to be proportional in their relationship. Finally, the results have found to be clinically relevant in the current trends of diagnosing autism in children.","PeriodicalId":328695,"journal":{"name":"2015 IEEE 14th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128102308","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: 5

A novel recommendation system for the personalized smart tourism route: Design and implementation 个性化智能旅游线路推荐系统的设计与实现

2015 IEEE 14th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC) Pub Date : 2015-07-06 DOI: 10.1109/ICCI-CC.2015.7259400

Hailing Liu, Junhuai Li, Jun Peng

引用次数: 15

Learning through overcoming temporal inconsistencies 通过克服时间的不一致性来学习

2015 IEEE 14th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC) Pub Date : 2015-07-06 DOI: 10.1109/ICCI-CC.2015.7259378

Du Zhang

引用次数: 7

Machine learning based cognitive skills calculations for different emotional conditions 基于机器学习的认知技能计算不同的情绪状态

2015 IEEE 14th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC) Pub Date : 2015-07-06 DOI: 10.1109/ICCI-CC.2015.7259381

Sadique Ahmad, A. Adnan

引用次数: 3

Independent component analysis-based channel selection to achieve high performance of N200 and P300 classification 基于独立分量分析的信道选择，实现N200和P300的高性能分类

2015 IEEE 14th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC) Pub Date : 2015-07-06 DOI: 10.1109/ICCI-CC.2015.7259414

Wenxuan Li, Mengfan Li, Wei Li

引用次数: 2

A fuzzy interpolation method to group decision making using interval type-2 fuzzy sets 区间2型模糊集群体决策的模糊插值方法

2015 IEEE 14th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC) Pub Date : 2015-07-06 DOI: 10.1109/ICCI-CC.2015.7259420

Chengyuan Chen, Lixiao Feng

{"title":"A fuzzy interpolation method to group decision making using interval type-2 fuzzy sets","authors":"Chengyuan Chen, Lixiao Feng","doi":"10.1109/ICCI-CC.2015.7259420","DOIUrl":"https://doi.org/10.1109/ICCI-CC.2015.7259420","url":null,"abstract":"The goal in group decision making is to ensure that the best decision is made in terms of the available information and knowledge possessed by all group members. However, different types of uncertainty may influence both the assessment of the individual views and the derivation of the overall group-based solution. The difficulty in such decision making process may escalate if the views of all individuals only cover part of the problem space. Systems capable of reasoning through fuzzy interpolation can help. Fuzzy rule interpolation is an important technique for performing inference in sparse rule bases. Even when a given observation has no overlap with the antecedent values of any existing rules, fuzzy rule interpolation may still derive a certain conclusion. This paper proposes a method for achieving group decision making via interval type-2 fuzzy interpolation. Individual preferences are firstly aggregated by means of interval type-2 fuzzy sets, and interval type-2 fuzzy interpolation is then applied to derive the group-based conclusion. Experimental investigations are carried out and comparative results are presented to demonstrate the efficacy of the proposed work in guaranteeing the overall decision accuracy.","PeriodicalId":328695,"journal":{"name":"2015 IEEE 14th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128641028","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: 0

Cognitive computing on Chinese Sign Language perception and comprehension 汉语手语感知与理解的认知计算

2015 IEEE 14th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC) Pub Date : 2015-07-06 DOI: 10.1109/ICCI-CC.2015.7259370

Dengfeng Yao, Minghu Jiang, Abudoukelimu Abulizi, Hanjing Li

引用次数: 1