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Facial Expression Analysis

2005
Computer analysis of human face images includes detection of faces, identification of people, and understanding of expression. Among these three tasks, facial expression has been the least studied, and most of the past work on facial expression tried to recognize a small set of emotions, such as joy, disgust, and surprise. This practice may follow from
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Analysis of Cytokine Expression in Dermatology

Archives of Dermatology, 2002
During the past decade, the detection of cytokines has been a focus of scientific interest, including in dermatology. Dysregulation of cytokine production seems to be involved in the pathogenesis of various diseases. The determination of cytokine levels is of increasing diagnostic importance, and cytokines are used as therapeutic agents too.
Khusru, Asadullah   +2 more
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Factor Analysis of Expressions of Anxiety

Psychological Reports, 1978
40 female college students were videotaped in an interview during which they were questioned about sexual attitudes. Independent pairs of judges rated subjects using these videotapes. A rotated factor analysis performed on 18 non-verbal ratings, a finger-sweat index, the subject's subjective rating of own anxiety, and the Taylor Manifest Anxiety Scale ...
A P, Jurich, J A, Jurich
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Probabilistic expression analysis on manifolds

Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004., 2004
In this paper, we propose a probabilistic video-based facial expression recognition method on manifolds. The concept of the manifold of facial expression is based on the observation that the images of all possible facial deformations of an individual make a smooth manifold embedded in a high dimensional image space.
Ya Chang, Changbo Hu, Matthew Turk 0001
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Analysis of Gene Expression by PCR

2003
Methods used to study gene expression rely on two basic conditions. First, sufficient tissue must be available for analysis, and second, the gene must be expressed at a level high enough to be detectable by the method used. Where the gene of interest is expressed in small tissues or groups of cells, for example, in mouse embryos, or where transcripts ...
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Sonological analysis of clarinet expressivity

1980
Seven different performances of a fragment of W. A. Mozart's Concert for Clarinet (K622) were recorded. Each performance was inspired giving the player a sensorial type adjective in order to suggest various kinds of expressive intentions. Certain particularly significant sonological parameters were then measured.
CANAZZA TARGON, SERGIO   +3 more
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Eyebrows localization for expression analysis

2011 IEEE 7th International Conference on Intelligent Computer Communication and Processing, 2011
Automatic detection of human face features plays a significant role in expression recognition and human computer interaction. Human eyebrows shape has good specificity and stability, hence precise localization outlines a series of threads for face expression analysis. This paper will introduce a simple method for eyebrow localization.
Laura Florea, Raluca Boia
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Emotional analysis of facial expressions

2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583), 2005
The purpose of this work is to develop an emotional analyzer that enables a cognitive agent to determine the emotional state of another cognitive agent through facial expressions. These expressions are presented to the analyzer using a facial expressions language.
John R. Cowell, Aladdin Ayesh
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Northern Analysis of Gene Expression

2013
Northern analysis detects and quantitates full-length RNA transcripts by hybridizing a labeled sequence-specific probe to RNA fractionated by size and blotted onto a membrane. The first step in Northern analysis is RNA extraction from the tissue(s) of interest, followed by RNA denaturation and electrophoresis to separate all RNA transcripts in the ...
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Serial analysis of gene expression

Nature Protocols, 2006
Serial analysis of gene expression (SAGE) is a method used to obtain comprehensive, unbiased and quantitative gene-expression profiles. Its major advantage over arrays is that it does not require a priori knowledge of the genes to be analyzed and reflects absolute mRNA levels. Since the original SAGE protocol was developed in a short-tag (10-bp) format,
Min, Hu, Kornelia, Polyak
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