نتایج جستجو برای: pca analysis
تعداد نتایج: 2832621 فیلتر نتایج به سال:
In most hidden Markov based automatic speech recognition systems one of the fundamental question is to determine the intrinsic speech feature dimensionality and the number of clusters used in the Gaussian mixture model. We analyzed mel-frequency band energies using a variational Bayesian principal component analysis method to estimate the feature dimensionality as well as the number of Gaussian...
We investigate a novel approach for intuitive interaction with a data set for explorative data analysis. The key idea is that a user can directly interact with a two or three dimensional embedding of the data and actively place data points to desired locations. To achieve this, we propose a variant of semisupervised kernel PCA which respects the placement of control points and maximizes the var...
Cephalometric analysis is the study of dental and skeletal relationship in the head. It depends on cephalometric radiography to study relationships between bony and soft tissue landmarks and can be used for diagnosis of facial growth abnormalities prior to treatment. Skeleton analysis consists of facial skeleton analysis, and mandibular and maxillary base analysis. In this work, landmarks neede...
Metastasis is the primary cause of death in prostate cancer (PCa) patients. Small nucleolar RNAs (snoRNAs) have long been considered "housekeeping" genes with no relevance for cancer biology. Emerging evidence has challenged this assumption, suggesting that snoRNA expression is frequently modulated during cancer progression. Despite this, no study has systematically addressed the prognostic and...
Previous studies have associated higher milk intake with greater prostate cancer (PCa) incidence, but little data are available concerning milk types and the relation between milk intake and risk of fatal PCa. We investigated the association between intake of dairy products and the incidence and survival of PCa during a 28-y follow-up. We conducted a cohort study in the Physicians' Health Study...
The paper presents an automatic classification system, which discriminates the different types of single-layered clouds using Principal Component Analysis (PCA) with enhanced accuracy as compared to other techniques. PCA is an image classification technique, which is typically used for face recognition. PCA can be used to identify the image features called principal components. A principal comp...
It has been demonstrated that the Linear Discriminant Analysis (LDA) approach outperforms the Principal Component Analysis (PCA) approach in face recognition tasks. Due to the high dimensionality of a image space, many LDA based approaches, however, first use the PCA to project an image into a lower dimensional space or so-called face space, and then perform the LDA to maximize the discriminato...
Prostate cancer (PCa) now remains the 2nd most frequently diagnosed cancer. In recent years, chemoprevention for PCa becomes a possible concept. Especially, many phytochemicals rich foods are suggested to lower the risk of cancer. Among these foods, green tea is considered as effective prevention for various cancers. However, clinical trials and previous meta-analyses on the relationship betwee...
Our previous study revealed that microRNA (miR) ‑30c represents a potential tumor suppressor gene, the expression of which is associated with decreased oncogenic potential in prostate cancer (PCa) cell lines. However, the functional role and underlying mechanisms of miR‑30c in PCa remain to be fully elucidated. Reverse transcription‑quantitative polymerase chain reaction and immunohistochemical...
Suppression of androgen production and function provides palliation but not cure in men with prostate cancer (PCa). Therapeutic failure and progression to hormone-refractory PCa (HRPC) are often accompanied by molecular alterations involving the androgen receptor (AR). In this study, we report novel forms of AR alteration that are prevalent in HRPC. Through in silico sequence analysis and subse...
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