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This paper illustrates that elaborately selecting some discriminative patches instead of using all patches is helpful for recognition tasks. We propose an effective method called bagging greedy algorithm (BGA) for choosing a collection of patches that is discriminative in terms of classification. Compared with greedy algorithm, BGA is less likely to get into local optimum. Based on the subset of patches,...
In this paper, we propose a novel age estimation method based on gradient location and orientation histogram (GLOH) descriptor and multi-task learning (MTL). The GLOH, one of the state-of-the-art local descriptor, is used to capture the age-related local and spatial information of face image. As the extracted GLOH features are often redundant, MTL is designed to select the most informative GLOH bins...
This paper analyses the functions and setting problems of corona ring on composite insulator, use the neural network model to fit the relationship between the structural parameters and the optimization goals, and thus draws the optimal solution of corona ring structure parameters. Finally, it gives optimization parameters of corona ring which can effectively improve the insulator electric field distribution...
In this paper, we present a description of the iFlyTek Speech Lab system for NIST 2009 LRE (Language Recognition Evaluation). The system consists of acoustic systems (i.e. GMM-MMI and GMM-SVM) and phonotactic systems (i.e. PPR 4-gram LM and PPR 3-gram SVM). First, we describe several state-of-the-art techniques applied in our language recognition system, such as FA (Factor Analysis), MMI (Maximum...
A novelty method of face recognition combined with the fusion of local 2DGabor mean values and 2DPCA dimension deduction based on subspace analysis is proposed. Firstly, each facial image in the training sample set is divided according to the five special face regions and then the features of five key regions are extracted through 2DGabor wavelet, mean values are calculated from feature vectors gained...
Protein mass spectrometry has become a popular tool for cancer diagnosis. This article describes a novel proteomic pattern analysis algorithm for tumor classification using SELDI-TOF mass spectrometry. Different from the traditional pattern analysis methods, sparse representation accepts a new frame. Firstly the MS data is preprocessed. Secondly, the proposed method seeks the sparse representation...
This paper presents a new method for effective iris recognition using Biomimetic Pattern Recognition (BPR), which is a new theory proposed by academician ShoujueWang. A model for iris recognition that is based on BPR was introduced and thoroughly discussed here. Experimental results on the Chinese Academy of Sciences, Institute of Automation (CASIA) iris image database clearly demonstrates that the...
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