期刊文献+
共找到4篇文章
< 1 >
每页显示 20 50 100
High-Order Supervised Discriminant Analysis for Visual Data 认领
1
作者 Xiao-Ling Xia Hang-Hui Huang 《电子科技学刊:英文版》 2014年第1期76-80,共5页
In practical applications, we often have to deal with high-order data, for example, a grayscale image and a video clip are intrinsically a 2nd-order tensor and a 3rd-order tensor, respectively. In order to satisty the... In practical applications, we often have to deal with high-order data, for example, a grayscale image and a video clip are intrinsically a 2nd-order tensor and a 3rd-order tensor, respectively. In order to satisty these high-order data, it is conventional to vectorize these data in advance, which often destroys the intrinsic structures of the data and includes the curse of dimensionality. For this reason, we consider the problem of high-order data representation and classification, and propose a tensor based fisher discriminant analysis(FDA), which is a generalized version of FDA, named as GFDA. Experimental results show our GFDA outperforms the existing methods, such as the 2-directional 2-dimensional principal component analysis((2D)2PCA), 2-directional 2-dimensional linear discriminant analysis((2D)2LDA), and multilinear discriminant analysis(MDA), in high-order data classification under a lower compression ratio. 展开更多
关键词 FISHER判别分析 高阶数 可视化 线性判别分析 监督 二阶张量 数据分类 主成分分析
在线阅读 免费下载
Robust Texture Classification via Group-Collaboratively Representation-Based Strategy 认领
2
作者 Xiao-Ling Xia Hang-Hui Huang 《电子科技学刊:英文版》 2013年第4期412-416,共5页
In this paper,we present a simple but powerful ensemble for robust texture classification.The proposed method uses a single type of feature descriptor,i.e.scale-invariant feature transform(SIFT),and inherits the spiri... In this paper,we present a simple but powerful ensemble for robust texture classification.The proposed method uses a single type of feature descriptor,i.e.scale-invariant feature transform(SIFT),and inherits the spirit of the spatial pyramid matching model(SPM).In a flexible way of partitioning the original texture images,our approach can produce sufficient informative local features and thereby form a reliable feature pond or train a new class-specific dictionary.To take full advantage of this feature pond,we develop a group-collaboratively representation-based strategy(GCRS)for the final classification.It is solved by the well-known group lasso.But we go beyond of this and propose a locality-constraint method to speed up this,named local constraint-GCRS(LC-GCRS).Experimental results on three public texture datasets demonstrate the proposed approach achieves competitive outcomes and even outperforms the state-of-the-art methods.Particularly,most of methods cannot work well when only a few samples of each category are available for training,but our approach still achieves very high classification accuracy,e.g.an average accuracy of 92.1%for the Brodatz dataset when only one image is used for training,significantly higher than any other methods. 展开更多
关键词 纹理分类 基于策略 合作 稳健 纹理图像 特征描述 SIFT 特征变换
在线阅读 免费下载
Mining Hierarchical Decision Rules from Hybrid Data with Categorical and Continuous Valued Attributes 认领
3
作者 MIAO Duo-qian QIAN Jin +1 位作者 LI Wen ZHANG Ze-hua 《浙江海洋学院学报:自然科学版》 CAS 2010年第5期 420-427,共8页
<正>Decision rules mining is an important issue in machine learning and data mining.However,most proposed algorithms mine categorical data at single level,and these rules are not easily understandable and really... <正>Decision rules mining is an important issue in machine learning and data mining.However,most proposed algorithms mine categorical data at single level,and these rules are not easily understandable and really useful for users.Thus,a new approach to hierarchical decision rules mining is provided in this paper,in which similarity direction measure is introduced to deal with hybrid data.This approach can mine hierarchical decision rules by adjusting similarity measure parameters and the level of concept hierarchy trees. 展开更多
在线阅读 下载PDF
Entanglement dynamics of a Heisenberg chain with Dzyaloshinskii-Moriya interaction 认领
4
作者 郑强 张小平 +1 位作者 支启军 任中洲 《中国物理B:英文版》 SCIE EI CAS CSCD 2009年第8期3210-3214,共5页
This paper investigates the entanglement dynamics of the system,composed of two qubits A and B with Heisenberg XX spin interactation.There is a third controller qubit C,which only has Dzyaloshinskii-Moriya (DM) spin-o... This paper investigates the entanglement dynamics of the system,composed of two qubits A and B with Heisenberg XX spin interactation.There is a third controller qubit C,which only has Dzyaloshinskii-Moriya (DM) spin-orbit interaction with the qubit B.It is found that depending on the initial state of the controller qubit C and DM interaction,the entanglement of the system displays amplification and sudden birth effects.These effects indicate that one can control the entanglement of the system,which may be helpful for quantum information processing. 展开更多
关键词 DM相互作用 海森堡 纠缠 量子比特 学具 控制系统 量子信息处理 自旋轨道
上一页 1 下一页 到第
使用帮助 返回顶部 意见反馈