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Topology Preserving Non-negative Matrix Factorization for Face Recognition

IEEE Transactions on Image Processing, 2008
In this paper, a novel topology preserving non-negative matrix factorization (TPNMF) method is proposed for face recognition. We derive the TPNMF model from original NMF algorithm by preserving local topology structure. The TPNMF is based on minimizing the constraint gradient distance in the high-dimensional space.
Taiping Zhang, Bin Fang, Yuan Yan Tang
exaly   +3 more sources

Hemispheric Differences in the Perception of Positive and Negative Faces

International Journal of Neuroscience, 1985
Thirty-two right-handed subjects (15 males and 17 females) participated in a study investigating the effects of the perception of positive and negative emotional stimuli on choice reaction time. Slides of faces showing positive (happy, surprise) or negative (anger, disgust, sadness) affect were presented via a tachistoscope to either the right or left ...
Wedding, Danny, Stalans, Loretta
openaire   +3 more sources

Gram-negative folliculitis of the face

Clinical and Experimental Dermatology, 1979
Summary A case of E. Coli folliculitis of the face is presented. Unlike many of the reported cases, there was no preceding history of tetracycline therapy. The condition could be attributed to long term use of a hexachlorophene preparation.
openaire   +2 more sources

The Negative Effects of Whitening Transformation in Face Recognition

2009 Second International Symposium on Computational Intelligence and Design, 2009
Whitening transformation has widely been used in face recognition. Typically it is used in one of four ways: as a data preprocessing tool before feature extraction, to calculate statistically uncorrelated discriminant vectors, as a transitional step in calculating discriminant vectors, or as a data post-processing tool after feature extraction.
Fengxi Song, David Zhang 0001
openaire   +1 more source

Face Management and Negative Strengthening

2021
Negated gradable adjectives often convey an interpretation that is stronger than their literal meaning, which is referred to as ‘negative strengthening.’ For example, a sentence like ‘John is not kind’ may give rise to the inference that John is rather mean.
Gotzner, Nicole (Dr.)   +1 more
openaire   +1 more source

Non-negative Matrix Factorization for Face Recognition

2002
The computer vision problem of face classification under several ambient and unfavorable conditions is considered in this study. Changes in expression, different lighting conditions and occlusions are the relevant factors that are studied in this present contribution.
David Guillamet, Jordi Vitrià
openaire   +1 more source

Is Malaysia Facing Negative Deindustrialization?

Pacific Affairs, 2011
This paper seeks to examine whether Malaysia is facing negative deindustrialization by examining value-added, trade and productivity trends over the period 1990-2005. The evidence produced in the paper is concrete enough to confirm that Malaysia is facing negative deindustrialization. While it is typical, as part of the process of structural change, to
openaire   +1 more source

The two faces of Cdk8, a positive/negative regulator of transcription

Biochimie, 2014
Three cyclin dependent kinases, Cdk7, Cdk8 and Cdk9 are intimately connected with the processes of RNA polymerase II dependent transcription initiation and elongation in eukaryotic cells. Each of these kinases is part of a larger multisubunit complex, TFIIH, Mediator and p-TEFb respectively.
Josipa, Nemet   +3 more
openaire   +2 more sources

Fast Non-Negative Matrix Factorizations for Face Recognition

International Journal of Pattern Recognition and Artificial Intelligence, 2017
Non-negative Matrix Factorization (NMF), as a promising image-data representation approach, encounters the problems of slow convergence and weak classification ability. To overcome these limitations, this paper, based on different error measurements, proposes two kinds of NMF algorithms with fast gradient descent and high discriminant performance.
Wen-Sheng Chen   +3 more
openaire   +2 more sources

The influence of positive and negative facial expressions on face familiarity

Memory, 2007
Recent studies have shown that smiling faces are judged as more familiar than those showing a neutral expression (Baudouin, Gilibert, Sansone, & Tiberghien, 2000). Here we compare judged familiarity of unknown and famous faces when displaying a positive, neutral, or negative expression.
Lander, Karen; id_orcid 0000-0002-4738-1176   +1 more
openaire   +3 more sources

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