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Displaying 1-18 out of 18 total
Correction to
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Xin Geng, Zhi-Hua Zhou, Kate Smith-Miles
Issue Date:February 2008
pp. 368
No summary available.
 
Multilabel Ranking with Inconsistent Rankers
Found in: 2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
By Xin Geng,Longrun Luo
Issue Date:June 2014
pp. 3742-3747
While most existing multilabel ranking methods assume the availability of a single objective label ranking for each instance in the training set, this paper deals with a more common case where subjective inconsistent rankings from multiple rankers are asso...
 
Head Pose Estimation Based on Multivariate Label Distribution
Found in: 2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
By Xin Geng,Yu Xia
Issue Date:June 2014
pp. 1837-1842
Accurate ground truth pose is essential to the training of most existing head pose estimation algorithms. However, in many cases, the "ground truth" pose is obtained in rather subjective ways, such as asking the human subjects to stare at differe...
 
Label Distribution Learning
Found in: 2013 IEEE 13th International Conference on Data Mining Workshops (ICDMW)
By Xin Geng,Rongzi Ji
Issue Date:December 2013
pp. 377-383
Although multi-label learning can deal with many problems with label ambiguity, it does not fit some real applications well where the overall distribution of the importance of the labels matters. This paper proposes a novel learning paradigm named label di...
 
Implementation of the Powder Dispensing of Digitization
Found in: Electrical and Control Engineering, International Conference on
By Xin Geng, Li-ya Hou, Wei-yi Zhang
Issue Date:June 2010
pp. 1169-1175
Dose uniformity is one of the important factors in evaluation of microfeeding of fine powders. This paper describes a method for metering and dispensing the fine metal powders. The principle of the powder dispensing of digitalization is distinct from ultra...
 
Enhanced Visual Analysis for Cluster Tendency Assessment and Data Partitioning
Found in: IEEE Transactions on Knowledge and Data Engineering
By Liang Wang, Xin Geng, James Bezdek, Christopher Leckie, Kotagiri Ramamohanarao
Issue Date:October 2010
pp. 1401-1414
Visual methods have been widely studied and used in data cluster analysis. Given a pairwise dissimilarity matrix {\schmi D} of a set of n objects, visual methods such as the VAT algorithm generally represent {\schmi D} as an n\times n image {\rm I}(\tilde{...
 
Risk Rules Mining of Information System Based on Variable Precision Rough Set
Found in: Intelligent Computation Technology and Automation, International Conference on
By Xiaorong Cheng, Xin Geng, Huilan Zhao, Mingquan Zhang
Issue Date:October 2009
pp. 622-625
For evaluation of the risk in information system, variable precision rough set (VPRS) theory is emerging as a powerful tool for reasoning about data. The method for risk rules mining in information system based on VPRS is designed on the basis of related c...
 
A Support Vector Machines Security Assessment Method Based on Group Decision-Marking for Electric Power Information System
Found in: Information Assurance and Security, International Symposium on
By Xiaorong Cheng, Yan Wei, Xin Geng
Issue Date:August 2009
pp. 536-539
In accordance with the characteristics and the special demands of electric power information system, this paper designs a support vector machines (SVM) risk assessment method based on group decision-marking. According to security technology indices of elec...
 
A Quantitative Risk Assessment Approach Based on VPRS and Group Decision-Making Theory
Found in: Information Technology and Computer Science, International Conference on
By Xiaorong Cheng, Xin Geng, Yan Wei
Issue Date:July 2009
pp. 456-459
In view of the characteristics and the special demands of the electric power information system, this paper designs an assessment model based on variable precision rough set. Then, it uses group decision-making theory, which could make the results of the a...
 
Empirical Probability Functions Derived from Dihedral Angles for Protein Structure Prediction
Found in: Bioinformatic and Bioengineering, IEEE International Symposium on
By Qiwen Dong, Xin Geng, Shuigeng Zhou, Jihong Guan
Issue Date:June 2009
pp. 146-152
The development and evaluation of functions for protein energetics is an important part of current research aiming at understanding protein structures and functions. Knowledgebase mean force potentials are derived from statistical analysis of interacting g...
 
Facial age estimation by multilinear subspace analysis
Found in: Acoustics, Speech, and Signal Processing, IEEE International Conference on
By Xin Geng, Kate Smith-Miles
Issue Date:April 2009
pp. 865-868
Automatic estimation of human facial age is an interesting yet challenging topic appearing in recent years. Since different people might age in different ways, solving the problem of age estimation involves two semantic labels: identity and age. In this pa...
 
SpecVAT: Enhanced Visual Cluster Analysis
Found in: Data Mining, IEEE International Conference on
By Liang Wang, Xin Geng, James Bezdek, Christopher Leckie, Ramamohanarao Kotagiri
Issue Date:December 2008
pp. 638-647
Given a pairwise dissimilarity matrix $\bm{D}$ of a set ofobjects, visual methods such as the VAT algorithm (for visual analysis of cluster tendency) represent $\bm{D}$ as an image $\mathrm{I}(\tilde{\bm{D}})$ where the objects are reordered to highlight c...
 
Adaptive Fusion of Gait and Face for Human Identification in Video
Found in: Applications of Computer Vision, IEEE Workshop on
By Xin Geng, Liang Wang, Ming Li, Qiang Wu, Kate Smith-Miles
Issue Date:January 2008
pp. 1-6
Most work on multi-biometric fusion is based on static fusion rules which cannot respond to the changes of the environment and the individual users. This paper proposes adaptive multi-biometric fusion, which dynamically adjusts the fusion rules to suit the...
 
Automatic Age Estimation Based on Facial Aging Patterns
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Xin Geng, Zhi-Hua Zhou, Kate Smith-Miles
Issue Date:December 2007
pp. 2234-2240
While recognition of most facial variations, such as identity, expression and gender, has been extensively studied, automatic age estimation has rarely been explored. In contrast to other facial variations, aging variation presents several unique character...
 
Facial Age Estimation by Learning from Label Distributions
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Xin Geng, Chao Yin, Zhi-Hua Zhou
Issue Date:October 2013
pp. 2401-2412
One of the main difficulties in facial age estimation is that the learning algorithms cannot expect sufficient and complete training data. Fortunately, the faces at close ages look quite similar since aging is a slow and smooth process. Inspired by this ob...
 
Face image modeling by multilinear subspace analysis with missing values
Found in: Proceedings of the seventeen ACM international conference on Multimedia (MM '09)
By Kate Smith-Miles, Liang Wang, Xin Geng, Zhi-Hua Zhou
Issue Date:October 2009
pp. 629-632
The main difficulty in face image modeling is to decompose those semantic factors contributing to the formation of the face images, such as identity, illumination and pose. One promising way is to organize the face images in a higher-order tensor with each...
     
Facial age estimation by nonlinear aging pattern subspace
Found in: Proceeding of the 16th ACM international conference on Multimedia (MM '08)
By Kate Smith-Miles, Xin Geng, Zhi-Hua Zhou
Issue Date:October 2008
pp. 40-42
Human age estimation by face images is an interesting yet challenging research topic emerging in recent years. This paper extends our previous work on facial age estimation (a linear method named AGES). In order to match the nonlinear nature of the human a...
     
Learning from facial aging patterns for automatic age estimation
Found in: Proceedings of the 14th annual ACM international conference on Multimedia (MULTIMEDIA '06)
By Gang Li, Honghua Dai, Xin Geng, Yu Zhang, Zhi-Hua Zhou
Issue Date:October 2006
pp. 307-316
Age Specific Human-Computer Interaction (ASHCI) has vast potential applications in daily life. However, automatic age estimation technique is still underdeveloped. One of the main reasons is that the aging effects on human faces present several unique char...
     
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