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Displaying 1-36 out of 36 total
Kernel Principle Component Analysis in Pixels Clustering
Found in: Web Intelligence, IEEE / WIC / ACM International Conference on
By Jing Li, Dacheng Tao, Weiming Hu, Xuelong Li
Issue Date:September 2005
pp. 786-789
We propose two new methods in the nonlinear kernel feature space for pixel clustering based on the traditional KMeans and Gaussian Mixture Model (GMM). Unlike the previous work on the kernel machines, we give out a new perspective on the new developed kern...
 
Complementary Projection Hashing
Found in: 2013 IEEE International Conference on Computer Vision (ICCV)
By Zhongming Jin,Yao Hu,Yue Lin,Debing Zhang,Shiding Lin,Deng Cai,Xuelong Li
Issue Date:December 2013
pp. 257-264
Recently, hashing techniques have been widely applied to solve the approximate nearest neighbors search problem in many vision applications. Generally, these hashing approaches generate 2^c buckets, where c is the length of the hash code. A good hashing me...
 
A-Optimal Non-negative Projection for image representation
Found in: 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
By Haifeng Liu, Zheng Yang, Zhaohui Wu, Xuelong Li
Issue Date:June 2012
pp. 1592-1599
As a central problem in computer vision and pattern recognition, data representation has attracted great attention in the past years. Non-negative matrix factorization (NMF) which is a useful data representation method makes great contribution on finding t...
 
Multi-scale dictionary for single image super-resolution
Found in: 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
By Kaibing Zhang, Xinbo Gao, Dacheng Tao, Xuelong Li
Issue Date:June 2012
pp. 1114-1121
Reconstruction- and example-based super-resolution (SR) methods are promising for restoring a high-resolution (HR) image from low-resolution (LR) image(s). Under large magnification, reconstruction-based methods usually fail to hallucinate visual details w...
 
Matrix completion by Truncated Nuclear Norm Regularization
Found in: 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
By Debing Zhang, Yao Hu, Jieping Ye, Xuelong Li, Xiaofei He
Issue Date:June 2012
pp. 2192-2199
Estimating missing values in visual data is a challenging problem in computer vision, which can be considered as a low rank matrix approximation problem. Most of the recent studies use the nuclear norm as a convex relaxation of the rank operator. However, ...
 
Geometry constrained sparse coding for single image super-resolution
Found in: 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
By Xiaoqiang Lu, Haoliang Yuan, Pingkun Yan, Yuan Yuan, Xuelong Li
Issue Date:June 2012
pp. 1648-1655
The choice of the over-complete dictionary that sparsely represents data is of prime importance for sparse coding-based image super-resolution. Sparse coding is a typical unsupervised learning method to generate an over-complete dictionary. However, most o...
 
Sparse representation for blind image quality assessment
Found in: 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
By Lihuo He, Dacheng Tao, Xuelong Li, Xinbo Gao
Issue Date:June 2012
pp. 1146-1153
Blind image quality assessment (BIQA) is an important yet difficult task in image processing related applications. Existing algorithms for universal BIQA learn a mapping from features of an image to the corresponding subjective quality or divide the image ...
 
Face Sketch-Photo Synthesis under Multi-dictionary Sparse Representation Framework
Found in: Image and Graphics, International Conference on
By Nannan Wang,Xinbo Gao,Dacheng Tao,Xuelong Li
Issue Date:August 2011
pp. 82-87
Sketch-photo synthesis is one of the important research issues of heterogeneous image transformation. Some available popular synthesis methods, like locally linear embedding (LLE), usually generate sketches or photos with lower definition and blurred detai...
 
Single-Image Super-Resolution via Sparse Coding Regression
Found in: Image and Graphics, International Conference on
By Yi Tang,Yuan Yuan,Pingkun Yan,Xuelong Li
Issue Date:August 2011
pp. 267-272
In this paper, it has been shown that the sparse coding algorithm for single-image super-resolution is equivalent to a linear regression algorithm in the sparse coding space. Following the idea, the sparse coding algorithm are generalized by a novel $L_{2}...
 
KLT Feature Based Vehicle Detection and Tracking in Airborne Videos
Found in: Image and Graphics, International Conference on
By Xianbin Cao,Jinhe Lan,Pingkun Yan,Xuelong Li
Issue Date:August 2011
pp. 673-678
Airborne vehicle detection and tracking systems equipped on unmanned aerial vehicles (UAVs) are difficult to develop because of factors like UAV motion, scene complexity and so on. In this paper, we propose a new framework of multi-motion layer analysis to...
 
Accelerating Vehicle Detection in Low-Altitude Airborne Urban Video
Found in: Image and Graphics, International Conference on
By Xianbin Cao,Renjun Lin,Pingkun Yan,Xuelong Li
Issue Date:August 2011
pp. 648-653
The limitation of the existing methods of traffic data collection is that they rely on techniques that are strictly local in nature. The airborne system in unmanned aircrafts provides the advantages of wider view angle and higher mobility. However, detecti...
 
Intrinsic images using optimization
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Jianbing Shen, Xiaoshan Yang, Yunde Jia, Xuelong Li
Issue Date:June 2011
pp. 3481-3487
In this paper, we present a novel intrinsic image recovery approach using optimization. Our approach is based on the assumption of in a local window in natural images. Our method adopts a premise that neighboring pixels in a local window of a single image ...
 
Invariant Image Watermarking Based on Local Feature Regions
Found in: Cyberworlds, International Conference on
By Cheng Deng, Xinbo Gao, Xuelong Li, Dacheng Tao
Issue Date:September 2008
pp. 6-10
In this paper, a robust image watermarking approach is presented based on image local invariant features. The affine invariant point detector is used to extract feature regions of the given host image. Image normalization and dominant gradient orientation ...
 
Semantic Video Shot Segmentation Based on Color Ratio Feature and SVM
Found in: Cyberworlds, International Conference on
By Zhenxing Niu, Xinbo Gao, Dacheng Tao, Xuelong Li
Issue Date:September 2008
pp. 157-162
With the fast development of video semantic analysis, there has been increasing attention to the typical issue of the semantic analysis of soccer program. Based on the color feature analysis, this paper focuses on the video shot segmentation problem from t...
 
Enhanced biologically inspired model
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Yongzhen Huang, Kaiqi Huang, Liangsheng Wang, Dacheng Tao, Tieniu Tan, Xuelong Li
Issue Date:June 2008
pp. 1-8
It has been demonstrated by Serre et al. that the biologically inspired model (BIM) is effective for object recognition. It outperforms many state-of-the-art methods in challenging databases. However, BIM has the following three problems: a very heavy comp...
 
General Averaged Divergence Analysis
Found in: Data Mining, IEEE International Conference on
By Dacheng Tao, Xuelong Li, Xindong Wu, Stephen J. Maybank
Issue Date:October 2007
pp. 302-311
Subspace selection is a powerful tool in data mining. An important subspace method is the Fisher?Rao linear discriminant analysis (LDA), which has been successfully applied in many fields such as biometrics, bioinformatics, and multimedia retrieval. Howeve...
 
Human Carrying Status in Visual Surveillance
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Dacheng Tao, Xuelong Li, Stephen J. Maybank, Xindong Wu
Issue Date:June 2006
pp. 1670-1677
A person?s gait changes when he or she is carrying an object such as a bag, suitcase or rucksack. As a result, human identification and tracking are made more difficult because the averaged gait image is too simple to represent the carrying status. Therefo...
 
Stable Third-Order Tensor Representation for Color Image Classification
Found in: Web Intelligence, IEEE / WIC / ACM International Conference on
By Dacheng Tao, Steve Maybank, Weiming Hu, Xuelong Li
Issue Date:September 2005
pp. 641-644
General tensors can represent colour images more naturally than conventional features; however the general tensors? stability properties are not reported and remain to be a key problem. In this paper, we use the tensor minimax probability (TMPM) to prove t...
 
Artistic Mosaic Generation
Found in: Image and Graphics, International Conference on
By Xuelong Li, Yuan Yuan
Issue Date:December 2004
pp. 528-531
In this paper, a new approach to image processing in arts is presented in the domain of generating a series of artistic mosaic pictures. The mosaic pictures consist of the same elements as each other, but might be extremely different from the semantic cont...
 
Parallelized Evolutionary Learning for Detection of Biclusters in Gene Expression Data
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
By Dacheng Tao, Qinghua Huang, Qinghua Huang, Qinghua Huang, Xuelong Li, Xuelong Li, Xuelong Li, Alan Liew, Alan Liew, Alan Liew, Dacheng Tao, Dacheng Tao
Issue Date:March 2012
pp. 560-570
The analysis of gene expression data obtained from microarray experiments is important for discovering the biological process of genes. Biclustering algorithms have been proven to be able to group the genes with similar expression patterns under a number o...
     
Saliency Cut in Stereo Images
Found in: 2013 IEEE International Conference on Computer Vision Workshops (ICCVW)
By Jianteng Peng,Jianbing Shen,Yunde Jia,Xuelong Li
Issue Date:December 2013
pp. 22-28
In this paper, we propose a novel saliency-aware stereo images segmentation approach using the high-order energy items, which utilizes the disparity map and statistical information of stereo images to enrich the high-order potentials. To the best of our kn...
 
Fast and Accurate Matrix Completion via Truncated Nuclear Norm Regularization
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Yao Hu, Debing Zhang, Jieping Ye, Xuelong Li, Xiaofei He
Issue Date:September 2013
pp. 2117-2130
Recovering a large matrix from a small subset of its entries is a challenging problem arising in many real applications, such as image inpainting and recommender systems. Many existing approaches formulate this problem as a general low-rank matrix approxim...
 
Parallelized Evolutionary Learning for Detection of Biclusters in Gene Expression Data
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics
By Qinghua Huang, Dacheng Tao, Xuelong Li,A. Liew
Issue Date:March 2012
pp. 560-570
The analysis of gene expression data obtained from microarray experiments is important for discovering the biological process of genes. Biclustering algorithms have been proven to be able to group the genes with similar expression patterns under a number o...
 
A fast feature extraction method
Found in: Acoustics, Speech, and Signal Processing, IEEE International Conference on
By Jing Pan, Yanwei Pang, Xuelong Li, Yuan Yuan, Dacheng Tao
Issue Date:April 2009
pp. 1797-1800
A fast subspace analysis and feature extraction algorithm is proposed which is based on fast Haar transform and integral vector. In rapid object detection and conventional binary subspace learning, Haar-like functions have been frequently used but true Haa...
 
Color to Gray: Visual Cue Preservation
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Mingli Song, Dacheng Tao, Chun Chen, Xuelong Li, Chang Wen Chen
Issue Date:September 2010
pp. 1537-1552
Both commercial and scientific applications often need to transform color images into gray-scale images, e.g., to reduce the publication cost in printing color images or to help color blind people see visual cues of color images. However, conventional colo...
 
Deterministic Column-Based Matrix Decomposition
Found in: IEEE Transactions on Knowledge and Data Engineering
By Xuelong Li, Yanwei Pang
Issue Date:January 2010
pp. 145-149
In this paper, we propose a deterministic column-based matrix decomposition method. Conventional column-based matrix decomposition (CX) computes the columns by randomly sampling columns of the data matrix. Instead, the newly proposed method (termed as CX_D...
 
Patch Alignment for Dimensionality Reduction
Found in: IEEE Transactions on Knowledge and Data Engineering
By Tianhao Zhang, Dacheng Tao, Xuelong Li, Jie Yang
Issue Date:September 2009
pp. 1299-1313
Spectral analysis-based dimensionality reduction algorithms are important and have been popularly applied in data mining and computer vision applications. To date many algorithms have been developed, e.g., principal component analysis, locally linear embed...
 
Non-negative graph embedding
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Jianchao Yang, Shuicheng Yang, Yun Fu, Xuelong Li, Thomas Huang
Issue Date:June 2008
pp. 1-8
We introduce a general formulation, called non-negative graph embedding, for non-negative data decomposition by integrating the characteristics of both intrinsic and penalty graphs [17]. In the past, such a decomposition was obtained mostly in an unsupervi...
 
Geometric Mean for Subspace Selection
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Dacheng Tao, Xuelong Li, Xindong Wu, Stephen J. Maybank
Issue Date:February 2009
pp. 260-274
Subspace selection approaches are powerful tools in pattern classification and data visualization. One of the most important subspace approaches is the linear dimensionality reduction step in the Fisher's linear discriminant analysis (FLDA), which has been...
 
General Tensor Discriminant Analysis and Gabor Features for Gait Recognition
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Dacheng Tao, Xuelong Li, Xindong Wu, Stephen J. Maybank
Issue Date:October 2007
pp. 1700-1715
The traditional image representations are not suited to conventional classification methods, such as the linear discriminant analysis (LDA), because of the under sample problem (USP): the dimensionality of the feature space is much higher than the number o...
 
Negative Samples Analysis in Relevance Feedback
Found in: IEEE Transactions on Knowledge and Data Engineering
By Dacheng Tao, Xuelong Li, Stephen J. Maybank
Issue Date:April 2007
pp. 568-580
Recently, relevance feedback (RF) in content-based image retrieval (CBIR) has been implemented as an online binary classifier to separate the positive samples from the negative samples, where both sets of samples are labeled by the user. In many applicatio...
 
Toward Multiscreen Social TV with Geolocation-Aware Social Sense
Found in: IEEE MultiMedia
By Han Hu,Yonggang Wen,Huanbo Luan,Tat-Seng Chua,Xuelong Li
Issue Date:July 2014
pp. 10-19
The increasing popularity of social interactions and geotagged, user-generated content has transformed the television viewing experience from laid-back video watching behavior into a "lean-forward"' socially engaged experience. This article descr...
 
Compressed Hashing
Found in: 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
By Yue Lin,Rong Jin,Deng Cai,Shuicheng Yan,Xuelong Li
Issue Date:June 2013
pp. 446-451
Recent studies have shown that hashing methods are effective for high dimensional nearest neighbor search. A common problem shared by many existing hashing methods is that in order to achieve a satisfied performance, a large number of hash tables (i.e., lo...
 
Asymmetric bagging and random subspace for support vector machines-based relevance feedback in image retrieval
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Dacheng Tao, Xiaoou Tang, Xuelong Li, Xindong Wu
Issue Date:July 2006
pp. 1088-1099
Relevance feedback schemes based on support vector machines (SVM) have been widely used in content-based image retrieval (CBIR). However, the performance of SVM-based relevance feedback is often poor when the number of labeled positive feedback samples is ...
 
Building holistic descriptors for scene recognition: a multi-objective genetic programming approach
Found in: Proceedings of the 21st ACM international conference on Multimedia (MM '13)
By Ling Shao, Li Liu, Xuelong Li
Issue Date:October 2013
pp. 997-1006
Real-world scene recognition has been one of the most challenging research topics in computer vision, due to the tremendous intraclass variability and the wide range of scene categories. In this paper, we successfully apply an evolutionary methodology to a...
     
Cloud3DView: an interactive tool for cloud data center operations
Found in: Proceedings of the ACM SIGCOMM 2013 conference on SIGCOMM (SIGCOMM '13)
By Cynthia Lin, Haigang Gong, Haipeng You, Jianxiong Yin, Jinqi Gao, Ming Liu, Peng Sun, Xuelong Li, Yonggang Wen
Issue Date:August 2013
pp. 499-500
The emergence of cloud computing has promoted growing demand and rapid deployment of data centers. However, data center operations require a set of sophisticated skills (e.g., command-line-interface), resulting in a high operational cost. In this demo, to ...
     
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