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Showing 1 to 7 of 7 for “"Age regression"”.

  1. Memory in hypnotic age regression

    Dissertation (Ph.D.)--University of Kansas, Psychology, 1954.

    ku Repository record for Memory in hypnotic age regression (opens in a new tab)

  2. Automated human age at death estimation system from long bones histology

    Human age estimation at death from bone histology is a frequent and important requirement in forensic anthropology. Usually human age at death is estimated manually from bone histology or morphology. Manual methods of age estimation from bone histology involve three main phases that includes, …

    uthm Repository record for Automated human age at death estimation system from long bones histology (opens in a new tab)

  3. The hidden-observer and memory creation

    … the rates of hidden-observer responses in age regression. During the screening session subjects were tested on (a) the Tellegen absorption scale (Tellegen, 1980, 1982), (b) The imagery scale of Paivo and Harshman's (1983), Individual Differences Questionnaire, (c) the Autobiographical …

    concordia Repository record for The hidden-observer and memory creation (opens in a new tab)

  4. Adulting Children: A Television Series On Growing Up, Getting Out, and Coming Right Back

    … that forty-one percent of new graduates aged twenty-two to twenty-seven are working in fields that don’t even require a college degree. The media often makes light of their inability to penetrate the job market, citing lethargy, vanity, and arrogance as obstacles that keep this …

    texas-state Repository record for Adulting Children: A Television Series On Growing Up, Getting Out, and Coming Right Back (opens in a new tab)

  5. Computational Face Recognition Using Machine Learning Models

    … due to e.g., occlusion, low-resolution, and ageing. The problem of computer-based face recognition using partial facial data is still largely an unexplored area of research and how does computer interpret various parts of the face. Another challenge is age progression and regression, which is …

    bradford Repository record for Computational Face Recognition Using Machine Learning Models (opens in a new tab)

  6. Computational Face Recognition Using Machine Learning Models

    … due to e.g., occlusion, low-resolution, and ageing. The problem of computer-based face recognition using partial facial data is still largely an unexplored area of research and how does computer interpret various parts of the face. Another challenge is age progression and regression, which is …

    bradford Repository record for Computational Face Recognition Using Machine Learning Models (opens in a new tab)

  7. Assessing the applicability of the Greulich and Pyle (1959) skeletal age estimation method to South African children between 0 and 13 years

    The assessment of skeletal age (SA) in both clinical and forensic settings serves to estimate the degree of development and biological maturation of a child. This is a suitable and frequently used technique, as skeletal age is a valuable indicator which can be analysed from birth until the …

    cape-town Repository record for Assessing the applicability of the Greulich and Pyle (1959) skeletal age estimation method to South African children between 0 and 13 years (opens in a new tab)