World Congress on Nature and Biologically Inspired Computing最新文献

Diversity study of multi-objective genetic algorithm based on Shannon entropy 基于Shannon熵的多目标遗传算法的多样性研究

World Congress on Nature and Biologically Inspired Computing Pub Date : 2014-10-16 DOI: 10.1109/NaBIC.2014.6921898

E. Pires, J. Machado, P. Oliveira

引用次数: 2

Ant-based clustering of visual-words for unsupervised human action recognition 基于蚁群的视觉词聚类在无监督人类行为识别中的应用

World Congress on Nature and Biologically Inspired Computing Pub Date : 2010-12-01 DOI: 10.1109/NABIC.2010.5716377

Wang Kejun

{"title":"Ant-based clustering of visual-words for unsupervised human action recognition","authors":"Wang Kejun","doi":"10.1109/NABIC.2010.5716377","DOIUrl":"https://doi.org/10.1109/NABIC.2010.5716377","url":null,"abstract":"Ant-based clustering is a biologically-inspired computational heuristic that has been used in various domains for general clustering tasks. In this paper we propose its use as the tool for clustering high-dimensional vectors (visual words) which are descriptive features for human actions extracted from video sequences. This codebook generation stage is critical in the popular ‘Bag-of-Words’ framework in which a visual codebook is constructed on the statistics of various features in images or videos. K-means algorithm is widely used in this process but this has two major shortcomings namely: it requires user specification of input parameter k which can bias the algorithm and make it converge at a sub-optimal number of clusters. Also, optimal value of k needs to be determined empirically. Our method generates a codebook of highly descriptive spatio-temporal ‘words’ using ant-based clustering to determine the optimal number of clusters in the dataset. The number of clusters generated was set as the number of codewords for the vocabulary. The limitations of k-means were overcome with the robustness of ant-based clustering heuristic. This idea when applied to the benchmark KTH database produced codewords that produced a compact representation of human actions which gave the desired recognition result when compared to similar approach based on k-means clustering.","PeriodicalId":129539,"journal":{"name":"World Congress on Nature and Biologically Inspired Computing","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116967974","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: 4

A Pre-microRNA Classifier by Structural and Thermodynamic Motifs 基于结构和热力学基序的Pre-microRNA分类器

World Congress on Nature and Biologically Inspired Computing Pub Date : 2009-12-01 DOI: 10.1109/NABIC.2009.5393604

Vinod S. S. Chandra, Reshmi Girijadevi

{"title":"A Pre-microRNA Classifier by Structural and Thermodynamic Motifs","authors":"Vinod S. S. Chandra, Reshmi Girijadevi","doi":"10.1109/NABIC.2009.5393604","DOIUrl":"https://doi.org/10.1109/NABIC.2009.5393604","url":null,"abstract":"MicroRNAs (miRNAs) have been found in diverse organisms and play critical role in gene expression regulations of many essential cellular processes. Discovery of miRNAs and identification of their target genes are fundamental to the study of such regulatory circuits. To distinguish the real pre-miRNA from other stem loop hairpins with similar stem loop (pseudo pre-miRNA) is an important task in molecular biology. From the analysis of experimentally proved pre-miRNAs, we identified 17 parameters for miRNA formation. These parameters are grouped into two categories: structural and thermodynamic properties of the pre-miRNAs. A set of feature vector was formed from the pre-miRNA-like hairpins of human, mouse and rat. A feed forward multi layer perceptron Artificial Neural Network (ANN) classifier is trained by these feature vectors. This classifier is an application program, that decide whether a given sequence is a pre-miRNA like hairpin sequence or not. If the sequence is a pre-miRNA like hairpin, then the ANN classifier will predict whether it is a real pre-miRNA or a pseudo premiRNA. The approach can classify correctly the precursors of Human Mouse and Rat, with an average sensitivity of 97.40% and specificity of 95.85%. When compared with previous approaches, MiPred, mR-abela, ProMiR and Triplet SVM classifier, current approach was greater in total accuracy.","PeriodicalId":129539,"journal":{"name":"World Congress on Nature and Biologically Inspired Computing","volume":"124 1 Suppl 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131261416","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: 11

Real-Time Vehicle Emission Monitoring and Location Tracking Framework 实时车辆排放监测和位置跟踪框架

World Congress on Nature and Biologically Inspired Computing Pub Date : 1900-01-01 DOI: 10.1007/978-3-319-27400-3_19

E. Abera, Ayalew Belay Habtie, A. Abraham

引用次数: 1

A Neural Network Model for Road Traffic Flow Estimation 道路交通流估计的神经网络模型

World Congress on Nature and Biologically Inspired Computing Pub Date : 1900-01-01 DOI: 10.1007/978-3-319-27400-3_27

Ayalew Belay Habtie, A. Abraham, Dida Midekso

引用次数: 6

Applying Design Science Research to Design and Evaluate Real-Time Road Traffic State Estimation Framework 应用设计科学研究设计与评价实时道路交通状态估计框架

World Congress on Nature and Biologically Inspired Computing Pub Date : 1900-01-01 DOI: 10.1007/978-3-319-27400-3_20

Ayalew Belay Habtie, A. Abraham, Dida Midekso

引用次数: 0

Identification of Pathogenic Viruses Using Genomic Cepstral Coefficients with Radial Basis Function Neural Network 基于径向基函数神经网络的基因组倒谱系数鉴定病原病毒

World Congress on Nature and Biologically Inspired Computing Pub Date : 1900-01-01 DOI: 10.1007/978-3-319-27400-3_25

E. Adetiba, O. Olugbara, Tunmike B. Taiwo

引用次数: 15

A Hyper-Heuristic Approach to Solving the Ski-Lodge Problem 解决滑雪小屋问题的超启发式方法

World Congress on Nature and Biologically Inspired Computing Pub Date : 1900-01-01 DOI: 10.1007/978-3-319-27400-3_18

Ahmed Hassan, N. Pillay

引用次数: 0

Evolving Heuristic Based Game Playing Strategies for Checkers Incorporating Reinforcement Learning 结合强化学习的基于启发式进化的跳棋博弈策略

World Congress on Nature and Biologically Inspired Computing Pub Date : 1900-01-01 DOI: 10.1007/978-3-319-27400-3_15

Clive Frankland, N. Pillay

引用次数: 0

Updating the Global Best and Archive Solutions of the Dynamic Vector-Evaluated PSO Algorithm Using epsilon ϵ -dominance 利用ε -支配更新动态向量评估PSO算法的全局最佳解和存档解

World Congress on Nature and Biologically Inspired Computing Pub Date : 1900-01-01 DOI: 10.1007/978-3-319-27400-3_35

Mardé Helbig

引用次数: 0