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Face recognition: features versus templates
- IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
, 1993
"... Over the last 20 years, several different techniques have been proposed for computer recognition of human faces. The purpose of this paper is to compare two simple but general strategies on a common database (frontal images of faces of 47 people: 26 males and 21 females, four images per person). We ..."
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Cited by 749 (25 self)
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). We have developed and implemented two new algorithms; the first one is based on the computation of a set of geometrical features, such as nose width and length, mouth position, and chin shape, and the second one is based on almost-grey-level template matching. The results obtained on the testing sets
Action recognition in the premotor cortex
- Brain
, 1996
"... We recorded electrical activity from 532 neurons in the rostral part of inferior area 6 (area F5) of two macaque monkeys. Previous data had shown that neurons of this area discharge during goal-directed hand and mouth movements. We describe here the properties of a newly discovered set of F5 neurons ..."
Abstract
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Cited by 671 (47 self)
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We recorded electrical activity from 532 neurons in the rostral part of inferior area 6 (area F5) of two macaque monkeys. Previous data had shown that neurons of this area discharge during goal-directed hand and mouth movements. We describe here the properties of a newly discovered set of F5
The aesthetics of the eyes and mouth position in a three-point face schema
"... ABSTRACT Oculographical research of people watching a human face in-dicates that beholders eyes stop most often and for the longest period of time on the eyes and the mouth of the face looked at and that they move among these three points most frequently. The position of the eyes and mouth in rela-t ..."
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ABSTRACT Oculographical research of people watching a human face in-dicates that beholders eyes stop most often and for the longest period of time on the eyes and the mouth of the face looked at and that they move among these three points most frequently. The position of the eyes and mouth in rela
Face recognition by elastic bunch graph matching,
- IEEE Trans. Patt. Anal. Mach. Intell.
, 1997
"... Abstract We present a system for recognizing human faces from single images out of a large database containing one image per person. The task is difficult because of image variation in terms of position, size, expression, and pose. The system collapses most of this variance by extracting concise fa ..."
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Cited by 367 (9 self)
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Abstract We present a system for recognizing human faces from single images out of a large database containing one image per person. The task is difficult because of image variation in terms of position, size, expression, and pose. The system collapses most of this variance by extracting concise
Face Detection In Color Images
- IEEE Transactions on Pattern Analysis and Machine Intelligence
, 2002
"... Human face detection is often the first step in applications such as video surveillance, human computer interface, face recognition, and image database management. We propose a face detection algorithm for color images in the presence of varying lighting conditions as well as complex backgrounds. Ou ..."
Abstract
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Cited by 338 (8 self)
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. Our method detects skin regions over the entire image, and then generates face candidates based on the spatial arrangement of these skin patches. The algorithm constructs eye, mouth, and boundary maps for verifying each face candidate. Experimental results demonstrate successful detection over a wide
Twitter Power: Tweets as Electronic Word of Mouth
"... In this paper we report research results investigating microblogging as a form of electronic word-of-mouth for sharing consumer opinions concerning brands. We analyzed more than 150,000 microblog postings containing branding comments, sentiments, and opinions.We investigated the overall structure of ..."
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Cited by 216 (3 self)
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In this paper we report research results investigating microblogging as a form of electronic word-of-mouth for sharing consumer opinions concerning brands. We analyzed more than 150,000 microblog postings containing branding comments, sentiments, and opinions.We investigated the overall structure
positive word-of-mouth in
"... role of satisfaction and website usability in developing customer loyalty and ..."
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role of satisfaction and website usability in developing customer loyalty and
Everyone’s an influencer: quantifying influence on twitter
- in Proceedings of the fourth ACM international conference on Web search and data mining
"... In this paper we investigate the attributes and relative influence of 1.6M Twitter users by tracking 74 million diffusion events that took place on the Twitter follower graph over a two month interval in 2009. Unsurprisingly, we find that the largest cascades tend to be generated by users who have b ..."
Abstract
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Cited by 211 (5 self)
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been influential in the past and who have a large number of followers. We also find that URLs that were rated more interesting and/or elicited more positive feelings by workers on Mechanical Turk were more likely to spread. In spite of these intuitive results, however, we find that predictions of which
THE RELATIONSHIP BETWEEN BRAND LOVE AND POSITIVE WORD OF MOUTH
, 2014
"... Being able to create strong emotional bonds between consumers and brands can be seen as an important goal of today’s brand management. As in interpersonal relationships also in product and brand context love is presented to be the strongest stage of emotional attachment a consumer may have. Brand lo ..."
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, self-expressiveness of a brand, brand trust and hedonic product type affect brand love. In addition, the study investigates whether brand love would have positive effects on word of mouth (WOM) both in traditional and online environment (eWOM). As the objective was to examine the relationships between
Results 1 - 10
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1,237