2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System最新文献_第10页

Time Delay Estimation of Reverberant Meeting Speech: On the Use of Multichannel Linear Prediction 混响会议演讲的时延估计:多通道线性预测的应用

2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System Pub Date : 2007-12-16 DOI: 10.1109/SITIS.2007.96

E. Cheng, I. Burnett, C. Ritz

引用次数: 3

A New Robust Watermarking Scheme for Color Image in Spatial Domain 一种新的空间域彩色图像鲁棒水印方案

2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System Pub Date : 2007-12-16 DOI: 10.1109/SITIS.2007.67

I. Nasir, Ying Weng, Jianmin Jiang

引用次数: 83

Clustering Analysis Using Data Range Aware Seeding and Agglomerative Expectation Maximization 基于数据范围感知播种和聚类期望最大化的聚类分析

2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System Pub Date : 2007-12-16 DOI: 10.1109/SITIS.2007.61

Hongwei Zhu, Honglei Zhu

引用次数: 2

An Analysis of Constructed Categories for Textual Classification Using Fuzzy Similarity and Agglomerative Hierarchical Methods 基于模糊相似和聚类层次方法的文本分类构造类分析

2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System Pub Date : 2007-12-16 DOI: 10.1109/SITIS.2007.109

M. V. C. Guelpeli, A. C. Garcia

引用次数: 13

Non-negative Increment Feature Detection of the Traffic Throughput for Early DDoS Attack 早期DDoS攻击流量的非负增量特征检测

2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System Pub Date : 2007-12-16 DOI: 10.1109/SITIS.2007.122

Ying Huang, Huizhong Sun, H. J. Chao, Xiong Chao

引用次数: 2

On Constructing and Pruning SVM Ensembles SVM集合的构造与剪枝

2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System Pub Date : 2007-12-16 DOI: 10.1109/SITIS.2007.19

Bing-Yu Sun, Xiaoming Zhang, Rujing Wang

引用次数: 5

Multi-view Ear Shape Feature Extraction and Reconstruction 多视图耳形特征提取与重构

2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System Pub Date : 2007-12-16 DOI: 10.1109/SITIS.2007.42

Heng Liu, Jingqi Yan

引用次数: 17

A Colour Correlation-Based Stereo Matching Using 1D Windows 基于一维窗口的色彩相关立体匹配

2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System Pub Date : 2007-12-16 DOI: 10.1109/SITIS.2007.25

S. Lefebvre, S. Ambellouis, F. Cabestaing

{"title":"A Colour Correlation-Based Stereo Matching Using 1D Windows","authors":"S. Lefebvre, S. Ambellouis, F. Cabestaing","doi":"10.1109/SITIS.2007.25","DOIUrl":"https://doi.org/10.1109/SITIS.2007.25","url":null,"abstract":"In this paper, we propose an original approach to colour correlation-based stereo matching with mono-dimensional windows. The result of the algorithm is a quasi-dense disparity map associated with its confidence map. For each pixel, correlation indices are computed for several widths of windows and several positions of the current pixel. Three criteria, extracted from each correlation curve, are combined by a fuzzy filter to define a confidence measure. A basic decision rule computes the disparity value and its associated confidence for most of the image pixels. A first study shows results obtained on grey level images with our 1D method and a classical 2D method. The method is applied to the RGB colour space: three disparity maps are computed and fused to compute the final disparity map. The method is validated on the Tsukuba image pair. On the first hand, we show that our method presents lower error rates with the RGB colour space than with the grey level image for identical density rates. On the other hand, our results are compared with those obtained using similar colour 2D methods (presented on the Middlebury Website). Our algorithm is ranked in the first places for each area of the image.","PeriodicalId":234433,"journal":{"name":"2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128115030","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

A Study on the Dynamic Time Warping in Kernel Machines 核机动态时间翘曲的研究

2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System Pub Date : 2007-12-16 DOI: 10.1109/SITIS.2007.112

H. Lei, Bing-Yu Sun

{"title":"A Study on the Dynamic Time Warping in Kernel Machines","authors":"H. Lei, Bing-Yu Sun","doi":"10.1109/SITIS.2007.112","DOIUrl":"https://doi.org/10.1109/SITIS.2007.112","url":null,"abstract":"The dynamic time warping (DTW) is state-of-the-art distance measure widely used in sequential pattern matching and it outperforms Euclidean distance in most cases because its matching is elastic and robust. It is tempting to substitute DTW distance for Euclidean distance in the Gaussian RBF kernel and plug it into the state-of-the art classifier support vector machines (SVMs) for sequence classification. However, it is not straightforward that DTW also outperforms Euclidean distance in kernel machines. While counter-examples can be found to numerically prove that DTW is not positive definite symmetric (PDS)acceptable by SVM, little is known why it can not be PDS theoretically. We analyze the DTW kernel and complete a theoretical proof via the connection between PDS kernel and reproducing kernel Hilbert space (RKHS). Our analysis leads to a better understanding that all Hilbertian metrics can be be converted to a PDS kernel in the Gaussian form, while the reverse is not true. The proof can be extended to conclude that elastic matching distance is not eligible to construct PDS kernels (e.g., Edit distance). Experiments were conducted to compare the RBF-kernel and DTW kernel in SVM classifications and the results show that simple Euclidean distance outperforms DTW in kernel machines.","PeriodicalId":234433,"journal":{"name":"2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123570403","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: 51

A Semantic Framework for Spatiotemporal Data Representation 时空数据表示的语义框架

2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System Pub Date : 2007-12-16 DOI: 10.1109/SITIS.2007.31

Peiquan Jin, Shouhong Wan, Lihua Yue

引用次数: 4