BE/BTech & ME/MTech Final Year Projects for Computer Science | Information Technology | ECE Engineer | IEEE Projects Topics, PHD Projects Reports, Ideas and Download | Sai Info Solution | Nashik |Pune |Mumbai
director@saiinfo settings_phone02536644344 settings_phone02030107071 settings_phone+919270574718 +919096813348 settings_phone+919028924212
logo


SAI INFO SOLUTION


Diploma | BE |B.Tech |ME | M.Tech |PHD

Project Development and Training

Search Project by Domainwise


Burg Matrix Divergence-Based Hierarchical Distance Metric Learning for Binary Classification


Privacy-Assured Outsourcing of
Abstract


Distance metric learning is the foundation of many learning algorithms, and it has been widely used in many real-world applications. The basic idea of most distance metric learning methods is to nd a space that can optimally separate data points that belong to different categories. However, currentmethods are mostly based on the single space that only learns oneMahalanobis distance for each data set, which actually fails to perfectly separate different categories in most real-world applications. To improve the accuracy of binary classication, a hierarchical method is proposed in this paper to completely separate different categories by sequentially learning subspace distancemetrics. In the proposedmethod, a base-space distance metric is learned based on a similarity constraint rst. Then, for binary classication problems, we formulate the subspace learning problem as a particular Burg Matrix optimization problem that minimizes the Burg Matrix divergence with distance constraints. Moreover, a cyclic projection algorithm is presented to solve the subspace learning problems. The experiments on ve UCI data sets using different performance indices demonstrate the improved performance of the proposed method when compared with the state-of-the-art methods

KeyWords
Hierarchical distance metric learning, sub-space distance metric, K-L divergence, LogDet optimization



Share
Share via WhatsApp
BE/BTech & ME/MTech Final Year Projects for Computer Science | Information Technology | ECE Engineer | IEEE Projects Topics, PHD Projects Reports, Ideas and Download | Sai Info Solution | Nashik |Pune |Mumbai
Call us : 09096813348 / 02536644344
Mail ID : developer.saiinfo@gmail.com
Skype ID : saiinfosolutionnashik