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Displaying 1-50 out of 64 total
A New GPCA Algorithm for Clustering Subspaces by Fitting, Differentiating and Dividing Polynomials
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By René Vidal, Yi Ma, Jacopo Piazzi
Issue Date:July 2004
pp. 510-517
We consider the problem of clustering data lying on multiple subspaces of unknown and possibly different dimensions. We show that one can represent the subspaces with a set of polynomials whose derivatives at a data point give normal vectors to the subspac...
 
Generalized Principal Component Analysis (GPCA)
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By René Vidal, Yi Ma, Shankar Sastry
Issue Date:December 2005
pp. 1945-1959
This paper presents an algebro-geometric solution to the problem of segmenting an unknown number of subspaces of unknown and varying dimensions from sample data points. We represent the subspaces with a set of homogeneous polynomials whose degree is the nu...
 
Fast Low-Rank Subspace Segmentation
Found in: IEEE Transactions on Knowledge and Data Engineering
By Xin Zhang,Fuchun Sun,Guangcan Liu,Yi Ma
Issue Date:May 2014
pp. 1-1
Subspace segmentation is the problem of segmenting (or grouping) a set of
 
Compact projection: Simple and efficient near neighbor search with practical memory requirements
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Kerui Min, Linjun Yang, John Wright, Lei Wu, Xian-Sheng Hua, Yi Ma
Issue Date:June 2010
pp. 3477-3484
Image similarity search is a fundamental problem in computer vision. Efficient similarity search across large image databases depends critically on the availability of compact image representations and good data structures for indexing them. Numerous appro...
 
Research of IPE Solution Applied to EPR Nuclear Power Project
Found in: Computing, Measurement, Control and Sensor Network, International Conference on
By Daqiao Wang,Fangneng Hu,Yi Luo,Yi Ma
Issue Date:July 2012
pp. 352-355
A nuclear power company is currently in the process of constructing the advanced 3rd generation of EPR Nuclear Power Plant, and its corresponding information system is an overall integrated information management system based on the new concept design. The...
 
Detecting texts of arbitrary orientations in natural images
Found in: 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
By Cong Yao, Xiang Bai, Wenyu Liu, Yi Ma, Zhuowen Tu
Issue Date:June 2012
pp. 1083-1090
With the increasing popularity of practical vision systems and smart phones, text detection in natural scenes becomes a critical yet challenging task. Most existing methods have focused on detecting horizontal or near-horizontal texts. In this paper, we pr...
 
Motion Segmentation in the Presence of Outlying, Incomplete, or Corrupted Trajectories
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Shankar Rao, Roberto Tron, René Vidal, Yi Ma
Issue Date:October 2010
pp. 1832-1845
In this paper, we study the problem of segmenting tracked feature point trajectories of multiple moving objects in an image sequence. Using the affine camera model, this problem can be cast as the problem of segmenting samples drawn from multiple linear su...
 
Separation of a subspace-sparse signal: Algorithms and conditions
Found in: Acoustics, Speech, and Signal Processing, IEEE International Conference on
By Arvind Ganesh, Zihan Zhou, Yi Ma
Issue Date:April 2009
pp. 3141-3144
In this paper, we show how two classical sparse recovery algorithms, Orthogonal Matching Pursuit and Basis Pursuit, can be naturally extended to recover block-sparse solutions for subspace-sparse signals. A subspace-sparse signal is sparse with respect to ...
 
Robust Face Recognition via Sparse Representation
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By John Wright, Allen Y. Yang, Arvind Ganesh, S. Shankar Sastry, Yi Ma
Issue Date:February 2009
pp. 210-227
We consider the problem of automatically recognizing human faces from frontal views with varying expression and illumination, as well as occlusion and disguise. We cast the recognition problem as one of classifying among multiple linear regression models a...
 
Rectification of Optical Characters as Transform Invariant Low-Rank Textures
Found in: 2013 12th International Conference on Document Analysis and Recognition (ICDAR)
By Xin Zhang,Zhouchen Lin,Fuchun Sun,Yi Ma
Issue Date:August 2013
pp. 393-397
Character rectification is very important for character recognition. Front view standard character images are much easier to recognize since most character recognition algorithms were trained with such data. However, the existing text rectification methods...
 
Robust Recovery of Subspace Structures by Low-Rank Representation
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Guangcan Liu, Zhouchen Lin, Shuicheng Yan, Ju Sun, Yong Yu, Yi Ma
Issue Date:January 2013
pp. 171-184
In this paper, we address the subspace clustering problem. Given a set of data samples (vectors) approximately drawn from a union of multiple subspaces, our goal is to cluster the samples into their respective subspaces and remove possible outliers as well...
 
RASL: Robust Alignment by Sparse and Low-Rank Decomposition for Linearly Correlated Images
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Yigang Peng,A. Ganesh,J. Wright, Wenli Xu, Yi Ma
Issue Date:November 2012
pp. 2233-2246
This paper studies the problem of simultaneously aligning a batch of linearly correlated images despite gross corruption (such as occlusion). Our method seeks an optimal set of image domain transformations such that the matrix of transformed images can be ...
 
Robust plane-based structure from motion
Found in: 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
By Zihan Zhou, Hailin Jin, Yi Ma
Issue Date:June 2012
pp. 1482-1489
We introduce a new approach to structure and motion recovery directly from one or more large planes in the scene. When such a plane exists, we demonstrate how to automatically detect and track it robustly and consistently over a long video sequence, and ho...
 
Non-negative low rank and sparse graph for semi-supervised learning
Found in: 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
By Liansheng Zhuang, Haoyuan Gao, Zhouchen Lin, Yi Ma, Xin Zhang, Nenghai Yu
Issue Date:June 2012
pp. 2328-2335
Constructing a good graph to represent data structures is critical for many important machine learning tasks such as clustering and classification. This paper proposes a novel non-negative low-rank and sparse (NNLRS) graph for semi-supervised learning. The...
 
Seeing through the blur
Found in: 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
By H. Mobahi,C. L. Zitnick, Yi Ma
Issue Date:June 2012
pp. 1736-1743
This paper addresses the problem of image alignment using direct intensity-based methods for affine and homography transformations. Direct methods often employ scale-space smoothing (Gaussian blur) of the images to avoid local minima. Although, it is known...
 
Preparation, Characterization, in vivo Pharmacokinetics and Tumor Inhibition Properties of PEGylated Liposomes Containing Etoposide
Found in: Biomedical Engineering and Biotechnology, International Conference on
By Shi Jun,Cheng Yi,Ma Fangli,Chen Weihong,Wang Xiaoyan
Issue Date:May 2012
pp. 1614-1620
Liposomal formulations of a potent antitumor drug, etoposide were prepared by ethanol injection method successfully. The characteristics of the etoposide liposomes, for particle size, encapsulation efficiency, leakage ratio, ? potential and physical stabil...
 
Toward a Practical Face Recognition System: Robust Alignment and Illumination by Sparse Representation
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By A. Wagner,J. Wright,A. Ganesh, Zihan Zhou,H. Mobahi, Yi Ma
Issue Date:February 2012
pp. 372-386
Many classic and contemporary face recognition algorithms work well on public data sets, but degrade sharply when they are used in a real recognition system. This is mostly due to the difficulty of simultaneously handling variations in illumination, image ...
 
Unwrapping low-rank textures on generalized cylindrical surfaces
Found in: Computer Vision, IEEE International Conference on
By Zhengdong Zhang,Xiao Liang,Yi Ma
Issue Date:November 2011
pp. 1347-1354
In this paper, we show how to reconstruct both 3D shape and 2D texture of a class of surfaces from a single perspective image. We consider the so-called the generalized cylindrical surfaces that are wrapped with low-rank textures. They can be used to model...
 
Research on Business Integration Modeling Technology of Equipment Support Training Simulation Systems
Found in: Computational and Information Sciences, International Conference on
By Yunfeng Lian,Yu Lu,Liyun Chen,Yi Ma
Issue Date:October 2011
pp. 506-509
The existing equipment support systems lack the effective interface between each other, which can not carry out interoperability between systems. This paper adopts Petri net to model the business process of each system firstly. And then it puts forward the...
 
Introduction to the Special Section on Real-World Face Recognition
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Gang Hua,Ming-Hsuan Yang,Erik Learned-Miller,Yi Ma,Matthew Turk,David J. Kriegman,Thomas S. Huang
Issue Date:October 2011
pp. 1921-1924
No summary available.
 
Camera calibration with lens distortion from low-rank textures
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Zhengdong Zhang,Y. Matsushita, Yi Ma
Issue Date:June 2011
pp. 2321-2328
We present a simple, accurate, and flexible method to calibrate intrinsic parameters of a camera together with (possibly significant) lens distortion. This new method can work under a wide range of practical scenarios: using multiple images of a known patt...
 
Distribution of Lead in Blood and Organs of Mice Exposed to Lead-Contaminated Drinking Water
Found in: Computer Distributed Control and Intelligent Environmental Monitoring, International Conference on
By Chao Chun-yan, Liu Yi, Ma Deng-jun
Issue Date:February 2011
pp. 52-55
Pb levels in blood, liver, lung, kidney, heart and brain of male mice were measured after exposure to Pb as lead nitrate solution (0.1mg/mL)using flame atomic absorption spectrometry. The resultant data show that 98% of lead exposed in blood is accumulated...
 
A P2P Overlay Network Routing Algorithm Based on Hierarchy Agglomerative Clustering Topology
Found in: Genetic and Evolutionary Computing, International Conference on
By Yi Ma, Guiran Chang, Zhenhua Tan, XueYi Wang
Issue Date:December 2010
pp. 414-417
Most P2P applications use the routing algorithm that selecting the neighbor nodes at random. This routing algorithm increases the routing hops and reduces the routing speed. To get better routing efficiency, a new routing algorithm named RHAC based on hier...
 
A Double Auction Method for Resource Management and Bidding Strategy on Grid Resources
Found in: Genetic and Evolutionary Computing, International Conference on
By Xueyi Wang, Xingwei Wang, Min Huang, Yi Ma, Zhenhua Tan
Issue Date:December 2010
pp. 422-425
According to the feature of the allocation of resources in grid environment, an improved grid resource management model based double auction is presented and evaluated. By double auction of grid resource agent and task agent, it implements the management o...
 
A Distributed Lossless Transmission Method for Tele-Medical Image
Found in: Genetic and Evolutionary Computing, International Conference on
By Zhenhua Tan, Yi Ma, Xueyi Wang, Xingwei Wang
Issue Date:December 2010
pp. 438-441
this paper presents a loss less method (named Tele-DTM, means Tele-Decomposition-Transmission-Merge) to transmit tele-medical image distributed using p2p principle. In this solution, by decomposing the medical image into n sub images(n equals to the amount...
 
RASL: Robust alignment by sparse and low-rank decomposition for linearly correlated images
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Yigang Peng, Arvind Ganesh, John Wright, Wenli Xu, Yi Ma
Issue Date:June 2010
pp. 763-770
This paper studies the problem of simultaneously aligning a batch of linearly correlated images despite gross corruption (such as occlusion). Our method seeks an optimal set of image domain transformations such that the matrix of transformed images can be ...
 
An Improved Peer-to-Peer Routing Algorithm K-CSSP Based on Communication History Clustered by K-means
Found in: Hybrid Intelligent Systems, International Conference on
By Zhenhua Tan, Guiran Chang, Wei Cheng, Yi Ma
Issue Date:August 2009
pp. 381-385
This paper presented an improved routing algorithm K-CSSP of structured p2p overlay networks based on clustering the nodes’ communication history of the CSSP. This routing algorithm computing the nodes’ stability via storing the nodes’ communication histor...
 
A P2P Network Topology Optimized Algorithm Based on Minimum Maximum K-Means Principle
Found in: Hybrid Intelligent Systems, International Conference on
By Yi Ma, Zhenhua Tan, Guiran Chang, Xiaoxing Gao
Issue Date:August 2009
pp. 396-399
The most popular routing algorithm in p2p network is that every node keeps a route table which records a certain number of other nodes. Such algorithm selects neighbor nodes at random, and this reduces routing efficiency. In this paper a new algorithm of o...
 
A P2P Overlay Network Routing Algorithm Based on Group-Average Agglomerative Clustering Topology
Found in: Hybrid Intelligent Systems, International Conference on
By Yi Ma, Zhenhua Tan, Guiran Chang, Xiaoxing Gao
Issue Date:August 2009
pp. 445-448
The use of peer-to-peer (p2p) applications is growing dramatically. Most p2p applications use the routing algorithm that selecting the neighbor nodes at random. This routing algorithm increases the routing hops and reduces the routing speed. To get better ...
 
Towards a practical face recognition system: Robust registration and illumination by sparse representation
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By A. Wagner, J. Wright, A. Ganesh, Zihan Zhou, Yi Ma
Issue Date:June 2009
pp. 597-604
Most contemporary face recognition algorithms work well under laboratory conditions but degrade when tested in less-controlled environments. This is mostly due to the difficulty of simultaneously handling variations in illumination, alignment, pose, and oc...
 
Dense error correction via l1-minimization
Found in: Acoustics, Speech, and Signal Processing, IEEE International Conference on
By John Wright, Yi Ma
Issue Date:April 2009
pp. 3033-3036
We study the problem of recovering a non-negative sparse signal x ∈ ℝ<sup>n</sup> from highly corrupted linear measurements y = Ax+e ∈ ℝ<sup>m</sup>, where e is an unknown (and unbounded) error. Motivated by an observation from comp...
 
High Resolution Remote Sensing Image Classification of Coastal Zone and Its Automatic Realization
Found in: Computer Science and Software Engineering, International Conference on
By Yi Ma, Jie Zhang, Yufeng Gao
Issue Date:December 2008
pp. 827-829
Using the Quickbird remote sensing image of coastal zone of Yalu River mouth, this paper introduces the conception of separating layers, puts forward a high resolution remote sensing classification method of land use by integrating Maximum Likelihood, prin...
 
Image super-resolution as sparse representation of raw image patches
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Jianchao Yang, John Wright, Thomas Huang, Yi Ma
Issue Date:June 2008
pp. 1-8
This paper addresses the problem of generating a super-resolution (SR) image from a single low-resolution input image. We approach this problem from the perspective of compressed sensing. The low-resolution image is viewed as downsampled version of a high-...
 
Motion segmentation via robust subspace separation in the presence of outlying, incomplete, or corrupted trajectories
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Shankar R. Rao, Roberto Tron, Rene Vidal, Yi Ma
Issue Date:June 2008
pp. 1-8
We examine the problem of segmenting tracked feature point trajectories of multiple moving objects in an image sequence. Using the affine camera model, this motion segmentation problem can be cast as the problem of segmenting samples drawn from a union of ...
 
Segmentation of Multivariate Mixed Data via Lossy Data Coding and Compression
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Yi Ma, Harm Derksen, Wei Hong, John Wright
Issue Date:September 2007
pp. 1546-1562
In this paper, based on ideas from lossy data coding and compression, we present a simple but effective technique for segmenting multivariate mixed data that are drawn from a mixture of Gaussian distributions, which are allowed to be almost degenerate. The...
 
Optimizing Dual-Core Execution for Power Efficiency and Transient-Fault Recovery
Found in: IEEE Transactions on Parallel and Distributed Systems
By Yi Ma, Hongliang Gao, Martin Dimitrov, Huiyang Zhou
Issue Date:August 2007
pp. 1080-1093
<p><b>Abstract</b>—Dual-core execution (DCE) is an execution paradigm proposed to utilize chip multiprocessors to improve the performance of single-threaded applications. Previous research has shown that DCE provides a complexity-effectiv...
 
Using Indexing Functions to Reduce Conflict Aliasing in Branch Prediction Tables
Found in: IEEE Transactions on Computers
By Yi Ma, Hongliang Gao, Huiyang Zhou
Issue Date:August 2006
pp. 1057-1061
High-accuracy branch prediction is crucial for high-performance processors. Inspired by the work on indexing functions to eliminate conflict-misses in memory hierarchy, this paper explores different indexing approaches to reduce conflict aliasing in branch...
 
Robust Statistical Estimation and Segmentation of Multiple Subspaces
Found in: Computer Vision and Pattern Recognition Workshop
By Allen Y. Yang, Shankar R. Rao, Yi Ma
Issue Date:June 2006
pp. 99
We study the problem of estimating a mixed geometric model of multiple subspaces in the presence of a significant amount of outliers. The estimation of multiple subspaces is an important problem in computer vision, particularly for segmenting multiple moti...
 
Homography from Coplanar Ellipses with Application to Forensic Blood Splatter Reconstruction
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By John Wright, Andrew Wagner, Shankar Rao, Yi Ma
Issue Date:June 2006
pp. 1250-1257
Reconstruction of the point source of blood splatter in a crime scene is an important and difficult problem in forensic science. We study the problem of automatically reconstructing the 3-D location of the victim of a shooting from photographs of planar su...
 
The Methodology of Mesh-Cast Streaming in P2P Networks
Found in: Multimedia, International Symposium on
By Yi Ma, Ramazan S. Aygun
Issue Date:December 2005
pp. 611-617
Peer-to-Peer (P2P) streaming supports distributed data transfer over Internet. It claims high resource utilization and better streaming performance. In this paper, we define mesh-cast concept to model
 
Segmentation of Hybrid Motions via Hybrid Quadratic Surface Analysis
Found in: Computer Vision, IEEE International Conference on
By Shankar R. Rao, Allen Y. Yang, Andrew W. Wagner, Yi Ma
Issue Date:October 2005
pp. 2-9
In this paper, we investigate the mathematical problem underlying segmentation of hybrid motions: Given a series of tracked feature correspondences between two (perspective) images, we seek to segment and estimate multiple motions, possibly of different ty...
 
A Multi-Scale Hybrid Linear Model for Lossy Image Representation
Found in: Computer Vision, IEEE International Conference on
By Wei Hong, John Wright, Kun Huang, Yi Ma
Issue Date:October 2005
pp. 764-771
This paper introduces a simple and efficient representation for natural images. We partition an image into blocks and treat the blocks as vectors in a high-dimensional space. We then fit a piece-wise linear model (i.e. a union of affine subspaces) to the v...
 
Segmentation of a Piece-Wise Planar Scene from Perspective Images
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Allen Y. Yang, Shankar Rao, Andrew Wagner, Yi Ma
Issue Date:June 2005
pp. 154-161
We study and compare two novel embedding methods for segmenting feature points of piece-wise planar structures from two (uncalibrated) perspective images. We show that a set of different homographies can be embedded in different ways to a higher-dimensiona...
 
Peer-to-peer based multimedia digital library
Found in: Southeastern Symposium on System Theory
By Yi Ma, R.S. Aygun
Issue Date:March 2005
pp. 130-134
New developments in super peer based peer-to-peer (P2P) network and digital library techniques give us the inspiration of looking for an approach to combine the reliability and strength of server with the flexibility of P2P network in multimedia data shari...
 
Minimum Effective Dimension for Mixtures of Subspaces: A Robust GPCA Algorithm and Its Applications
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Kun Huang, Yi Ma, René Vidal
Issue Date:July 2004
pp. 631-638
In this paper, we propose a robust model selection criterion for mixtures of subspaces called minimum effective dimension (MED). Previous information-theoretic model selection criteria typically assume that data can be modelled with a parametric model of c...
 
Geometric Segmentation of Perspective Images Based on Symmetry Groups
Found in: Computer Vision, IEEE International Conference on
By Allen Y. Yang, Shankar Rao, Kun Huang, Wei Hong, Yi Ma
Issue Date:October 2003
pp. 1251
Symmetry is an effective geometric cue to facilitate conventional segmentation techniques on images of man-made environment. Based on three fundamental principles that summarize the relations between symmetry and perspective imaging, namely, structure from...
 
Symmetry-Based Photo Editing
Found in: Higher-Level Knowledge in 3D Modeling and Motion Analysis, IEEE International Workshop on
By Kun Huang, Wei Hong, Yi Ma
Issue Date:October 2003
pp. 21
Based on high-level geometric knowledge, especially symmetry, imposed upon objects in images, we demonstrate in this paper how to edit images in terms of correct 3-D shape and relationships of the objects, without explicitly performing full 3-D reconstruct...
 
On Exploiting Occlusions in Multiple-view Geometry
Found in: Computer Vision, IEEE International Conference on
By Paolo Favaro, Alessandro Duci, Yi Ma, Stefano Soatto
Issue Date:October 2003
pp. 479
Occlusions are commonplace in man-made and natural environments; they often result in photometric features where a line terminates at an occluding boundary, resembling a
 
Generalized Principal Component Analysis (GPCA)
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By René Vidal, Yi Ma, Shankar Sastry
Issue Date:June 2003
pp. 621
We propose an algebraic geometric approach to the problem of estimating a mixture of linear subspaces from sample data points, the so-called Generalized Principal Component Analysis (GPCA) problem. In the absence of noise, we show that GPCA is equivalent t...
 
Optimal Motion Estimation from Multiview Normalized Epipolar Constraint
Found in: Computer Vision, IEEE International Conference on
By René Vidal, Yi Ma, Shawn Hsu, Shankar Sastry
Issue Date:July 2001
pp. 34
In this paper, we study the structure from motion problem as a constrained nonlinear least squares problem which minimizes the so called reprojection error subject to all constraints among multiple images. By converting this constrained optimization proble...
 
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