Kernel Canonical Correlation Analysis With Applications
نویسنده
چکیده
This paper provides an overview of Kernel Canonical Correlation Analysis. KCCA is a technique for finding common semantic features between different views of data. Applications on text retrieval, categorization and image retrieval based on text queries are presented.
منابع مشابه
The Geometry Of Kernel Canonical Correlation Analysis
Canonical correlation analysis (CCA) is a classical multivariate method concerned with describing linear dependencies between sets of variables. After a short exposition of the linear sample CCA problem and its analytical solution, the article proceeds with a detailed characterization of its geometry. Projection operators are used to illustrate the relations between canonical vectors and variat...
متن کاملKernel Canonical Correlation Analysis1
This paper introduces a new non-linear feature extraction technique based on Canonical Correlation Analysis (CCA) with applications in regression and object recognition. The non-linear transformation of the input data is performed using kernel-methods. Although, in this respect, our approach is similar to other generalized linear methods like kernel-PCA, our method is especially well suited for...
متن کاملKernel Canonical Correlation Analysis and its Applications to Nonlinear Measures of Association and Test of Independence∗
Measures of association between two sets of random variables have long been of interest to statisticians. The classical canonical correlation analysis can characterize, but also be limited to, linear association. In this article we study some nonlinear association measures using the kernel method. The introduction of kernel methods from machine learning community has a great impact on statistic...
متن کاملResearch and Restoration Technology of Video Motion Target Detection Based on Kernel Method
In recent years, due to the video surveillance applications more and more widely, people are not satisfied with the goal of monitoring, and the video monitoring technology of intelligent video moving object detection and tracking technology has received extensive attention. The research work in this paper is in the field, the moving target detection spatiotemporal correlation and difference con...
متن کاملKernel Discriminant Analysis Based on Canonical Differences for Face Recognition in Image Sets
A novel kernel discriminant transformation (KDT) algorithm based on the concept of canonical differences is presented for automatic face recognition applications. For each individual, the face recognition system compiles a multi-view facial image set comprising images with different facial expressions, poses and illumination conditions. Since the multi-view facial images are non-linearly distri...
متن کامل