High-dimensional data requires scalable algorithms. We propose and analyze three scalable and related algorithms for semi-supervised discriminant analysis (SDA). These methods are based on Krylov subspace methods which exploit the data sparsity and the shift-invariance of Krylov subspaces. In addition, the problem definition was improved by adding centralization to the semi-supervised setting. ...

The maximum likelihood (ML) detection is the optimal detection method for multiple-input multiple-output (MIMO) communication systems. The normal K-best Sphere Decoding Algorithm (SDA) can guarantee a fixed throughput, but it induces a large bit error rate (BER) degradation. In order to achieve close-to-ML performance, the K value needs to be sufficiently large. Thus, it needs large computation...

A reasonable and adequate understanding of spatial association between geographical variables is the basis statistical inference geocomputation, such as prediction. Most current models for exploring are constructed using data at sample locations. In this study, approaches observations locations defined first dimension (FDA). However, information outside usually missing in models. To address iss...

Quiet standing balance and postural control are often assessed by drawing information from center of pressure (COP) data collected with a force platform. Efforts to better understand the underlying processes involved in postural control have lead to methods that examine the dynamic or stochastic characteristics of the COP. One method that has recently gained popularity is Stabilogram Diffusion ...

AIM To study the frequency of amblyogenic factors in patients with congenital ptosis. METHODS In this cross-sectional study, 114 eyes of 100 patients with congenital ptosis more than 1 year old were included. Amblyopia was defined as best-corrected visual acuity (BCVA) less than 10/10 or a difference between the two eyes of at least 2/10. In patients too young to be measured by the linear Sne...

Background: Penicillium marneffei infection is the emerging fungal infection in the present day global scenario of HIV pandemic. P. marneffei is a dimorphic fungi with mycelial growth at 37C. Suspicion of P.marneffei infection arises when a immunocompromised individuals especially HIV positive persons present with Molluscum contagiosum like skin lesions. But pulmonary manifestations are not cha...

We develop a new randomized iterative algorithm—stochastic dual ascent (SDA)—for finding the projection of a given vector onto the solution space of a linear system. The method is dual in nature: with the dual being a non-strongly concave quadratic maximization problem without constraints. In each iteration of SDA, a dual variable is updated by a carefully chosen point in a subspace spanned by ...

Mechanical gastric distension induces a dorsal aortic pressor response in rainbow trout (Oncorhynchus mykiss) with no change in gastrointestinal blood flow. To elucidate what role chemical stimuli from the digested food has on the postprandial cardiovascular response, a new method was developed to investigate the contribution of individual nutrient components. Three predigested experimental die...

Polyunsaturated fatty acids (PUFAs) form a class of essential micronutrients that play a vital role in development, cardiovascular health, and immunity. The influence of lipids on the immune response is both complex and diverse, with multiple studies pointing to the beneficial effects of long-chain fatty acids in immunity. However, the mechanisms through which PUFAs modulate innate immunity and...

In recent years, researchers have proposed many deep learning algorithms for data representation learning. However, most networks require extensive training and a lot of time to obtain good results. this paper, we propose novel method based on stretching architectures that are composed stacked feature models. Hence, the is called “stretching architectures” (SDA). feedforward propagation SDA, mo...