Results 201 to 210 of about 64,619 (262)

From empirical regimens to precision prophylaxis: mechanism-based targeting of preeclampsia phenotypes. [PDF]

Front Pharmacol
Wang CF, Zhang YF, Jiao XF, Wei Q.
europepmc   +1 more source

Handcrafted Versus Deep Feature Extraction Methods for MRI-Based Multiple Sclerosis Diagnosis. [PDF]

Diagnostics (Basel)
Yahia S, Bouchrika T, Bouchelligua W.
europepmc   +1 more source

YOLO-AFL: A Novel Lightweight Algorithm for Real-Time Safety Helmet Detection in Factory Workshops. [PDF]

Sensors (Basel)
Wang H, Feng X, Li P, Wang A, Yao M.
europepmc   +1 more source

Evolution of therapy for autoimmune diseases in pregnancy: a retrospective study from 2000 to 2023. [PDF]

Front Med (Lausanne)
Garufi C, Rizzo F, Matys V, Garufi E, Botta A, Andreozzi V, Salvi S, Ghi T, De Carolis S.   +8 more
europepmc   +1 more source

A Sensitive Multichannel Fluorescent Polymer Sensor Array for the Detection of Protein Fluctuations in Serum. [PDF]

Sensors (Basel)
Yang J, Alves C, Nazir K, Jiang M, Araujo N, Rotello VM.   +5 more
europepmc   +1 more source

Establishing a competence model in discriminating <i>Mycobacterium</i> species and <i>Mycobacterium abscessus</i> subspecies by using surface-enhanced Raman spectroscopy. [PDF]

Biomed Rep
Pichitphorn A, Faksri K, Kaewseekhao B, Potisap C, Duong Thai T, Eisiri J, Juntagran C, Namwat W, Khwansirikul P, Salao K, Chaisri S, Phoksawat W.   +11 more
europepmc   +1 more source

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PCA versus LDA

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2001
In the context of the appearance-based paradigm for object recognition, it is generally believed that algorithms based on LDA (linear discriminant analysis) are superior to those based on PCA (principal components analysis). In this communication, we show that this is not always the case.
A C Kak, A M Martinez
exaly   +2 more sources

Equivalence between LDA/QR and Direct LDA

International Journal of Cognitive Informatics and Natural Intelligence, 2011
Singularity problems of scatter matrices in Linear Discriminant Analysis (LDA) are challenging and have obtained attention during the last decade. Linear Discriminant Analysis via QR decomposition (LDA/QR) and Direct Linear Discriminant analysis (DLDA) are two popular algorithms to solve the singularity problem.
Rong-Hua Li, Shuang Liang 0001, George Baciu, Eddie C. L. Chan   +3 more
openaire   +1 more source