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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.
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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
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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
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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
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Face recognition via weighted non-negative sparse representation

2021
Face recognition is one of the most important tools of identification in biometrics. Face recognition has attracted great attention in the last decades and numerous algorithms have been proposed. Different researches have shown that face recognition with Sparse Representation based Classification (SRC) has great classification performance.
Khosravi, Hoda   +2 more
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Chemical Firms Face Negative Debt Ratings

Chemical & Engineering News Archive, 2003
T he deterioration of credit quality among North American chemical companies continued throughout the second quarter, according to a new report by Standard & Poor's Rating Services. Year-to-date, downgrades have outpaced upgrades 20 to 1, continuing a multiyear slide in credit quality.
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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
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Discriminant non-negative graph embedding for face recognition

Neurocomputing, 2015
Abstract Non-negative Matrix Factorization (NMF) is an unsupervised algorithm for low-rank approximation of non-negative data and has been widely used in many fields, but its performance in feature extraction is not satisfactory. The main reason is that the model of NMF and its variants did not take into account the label information of the samples ...
Jinrong Cui   +3 more
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Brain and behavioral inhibitory control of kindergartners facing negative emotions

Developmental Science, 2015
AbstractInhibitory control (IC) – one of the most critical functions underlying a child's ability to self‐regulate – develops significantly throughout the kindergarten years. Experiencing negative emotions imposes challenges on executive functioning and may specifically affect IC.
Tali, Farbiash, Andrea, Berger
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Non-negative Compatible Kernel Construction for Face Recognition

2015
The existing Kernel Nonnegative Matrix Factorization (KNMF) cannot ensure the non-negativity of the mapped data in the kernel feature space. This is called the nonnegative in-compatible problem of KNMF. To tackle this problem, this paper presents a new methodology to construct Nonnegative Compatible Kernel (NC-Kernel) for face recognition.
Yang Zhao   +3 more
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