发明名称 SYSTEM FOR DOMAIN ADAPTATION WITH A DOMAIN-SPECIFIC CLASS MEANS CLASSIFIER
摘要 A classification system includes memory which stores, for each of a set of classes, a classifier model for assigning a class probability to a test sample from a target domain. The classifier model has been learned with training samples from the target domain and from at least one source domain. Each classifier model models the respective class as a mixture of components, the component mixture including a component for each source domain and a component for the target domain. Each component is a function of a distance between the test sample and a domain-specific class representation which is derived from the training samples of the respective domain that are labeled with the class, each of the components in the mixture being weighted by a respective mixture weight. Instructions, implemented by a processor, are provided for labeling the test sample based on the class probabilities assigned by the classifier models.
申请公布号 US2016078359(A1) 申请公布日期 2016.03.17
申请号 US201414504837 申请日期 2014.10.02
申请人 Xerox Corporation 发明人 Csurka Gabriela;Chidlovskii Boris;Perronnin Florent C.
分类号 G06N7/00;G06N99/00 主分类号 G06N7/00
代理机构 代理人
主权项 1. A classification system comprising: memory which stores: for each of a set of classes, a classifier model for assigning a class probability to a test sample from a target domain, the classifier model having been learned with training samples from the target domain and training samples from at least one source domain different from the target domain, each classifier model modeling the respective class as a mixture of components, the mixture of components including a component for each of the at least one source domain and a component for the target domain, each component being a function of a distance between the test sample and a domain-specific class representation which is derived from the training samples of the respective domain that are labeled with the class, each of the components in the mixture being weighted by a respective mixture weight; andinstructions for labeling the test sample based on the class probabilities assigned by the classifier models; and a processor in communication with the memory which executes the instructions.
地址 Norwalk CT US