A person identification system based on fast face learning of lifting wavelet filters is proposed. The real power of our system lies in fast learning of lifting wavelet filters adaptive to facial parts such as eyes, nose and lips, in a set of training faces. In our system, free parameters in the lifting filter are learned fast by using Newton’s method. The learned parameters are memorized in a ...

In this document, a system for recognizing persons in images is proposed. It is based on learning the outer appearance of a person from image sequences. In order to accomplish this, a statistical model of every person, we want to recognize, is being learnt. Positive training data is acquired by using a distributed camera network. Video data is labeled automatically to minimize user interaction....

Kerry Grosch, MA; Louis Medvene, PhD; and Hannah Wolcott, MA AbStrAct This research describes the development and evaluation of a 2-hour program that taught geriatric nursing assistant students person-centered caregiving skills. The person centeredness of caregiving skills among students who completed the training, as well as those who did not, was evaluated by coding their videotaped interacti...

vocational training is one of the crucial elements for generation that is going to be a part of skilled workforce of this world of work and to reduce the level of poverty.  it quickly enables a person to be a part of competitive workforce by enhancing their skills so that he may cope with the rapidly changing technological job and environment. the core objective of this study is to examine the ...

Person knowledge extraction is the foundation of the Tibetan knowledge graph construction, which provides support for Tibetan question answering system, information retrieval, information extraction and other researches, and promotes national unity and social stability. This paper proposes a SVM and template based approach to Tibetan person knowledge extraction. Through constructing the trainin...