By characterizing each image set as a nonsingular covariance matrix on the symmetric positive definite (SPD) manifold, approaches of visual content classification with sets have made impressive progress. However, key challenge unhelpfully large intraclass variability and interclass similarity representations remains open to date. Although, several recent studies mitigated two problems by jointly learning embedding mapping metric original SPD their inherent shallow linear feature...

Abstract Instant vegetable soup mix was dehydrated in a microwave freeze dryer to study the drying characteristics and sensory properties of dried product. The at different power levels, material thicknesses, loads. As expected, significantly influenced total time quality final increased with increase thickness load. A layer that is too thin causes product deteriorate. Keywords: Drying characteristicsInstant soupMicrowave dryingSensory ACKNOWLEDGEMENTS authors appreciate financial support...

Denoising Monte Carlo rendering with a very low sample rate remains major challenge in the photo-realistic research. Many previous works, including regression-based and learning-based methods, have been explored to achieve better quality less computational cost. However, most of these methods rely on handcrafted optimization objectives, which lead artifacts such as blurs unfaithful details. In this paper, we present an adversarial approach for denoising rendering. Our key insight is that...

By representing each image set as a nonsingular covariance matrix on the symmetric positive definite (SPD) manifold, visual classification with sets has attracted much attention. Despite success made so far, issue of large within-class variability representations still remains key challenge. Recently, several SPD learning methods have been proposed to assuage this problem by directly constructing an embedding mapping from original manifold lower dimensional one. The advantage type approach...

In the domain of video-based image set classification, a considerable advance has been made by modeling sequence video frames (image set) as linear subspace, which typically resides on Grassmannian manifold. As consequence large intra-class variations data, there are two open challenges for task: how to establish appropriate models encode these variations, and effectively measure similarity between any sets. possible way tackle issues, this paper presents graph embedding multi-kernel metric...

Reasonably determining the minimum sample size of electronic device sampling and testing has an important cost-effective value for enterprises, which is conducive to improving their economic efficiency market competitiveness. In this paper, hypothesis normal distribution approximation are used determine size, then sequential probability ratio (SPRT) model test derive scheme, stability decision analyzed through operating characteristic (OC) curve average (ASN) curve, so as further establish...

Two new poly(ortho ester amide) copolymers (POEA-4 and POEA-5) were synthesized via polycondensation of a ortho diamine monomer with active esters different aliphatic diacids. The kinetics POEA mass loss release 5-FU both nearly zero-order, suggesting predominantly surface-restricted polymer erosion drug release. In vitro cytotoxicity tests demonstrated that have excellent biocompatibility. vivo acute toxicity suggested oral administration POEA-4 POEA-5 did not cause any adverse effects on...

The importance of wild video based image set recognition is monotonically increasing due to the large amount data being collected by various devices including surveillance cameras, drive recorders, smart phones, and internet. content these videos often complex, it raises question how perform modeling feature extraction for set-based classification. In recent years, classification methods have advanced considerably in terms a covariance matrix, linear subspace, or Gaussian distribution....

In image set classification, a considerable advance has been made by modeling the original sets second order statistics or linear subspace, which typically lie on Riemannian manifold. Specifically, they are Symmetric Positive Definite (SPD) manifold and Grassmann respectively, some algorithms have developed them for classification tasks. Motivated inability of existing methods to extract discriminatory features data manifolds, we propose novel algorithm combines multiple manifolds as sets....

With the continuously increasing amount of video data, image set classification has recently received widespread attention in CV&PR community. However, intra-class diversity and inter-class ambiguity representations remain an open challenge. To tackle this issue, several methods have been put forward to perform multiple geometry-aware modelling learning. Although extracted complementary geometric information is beneficial for decision making, sophisticated computational paradigm (e.g.,...

By describing image sets as linear subspaces on the Grassmann manifold, set classification has received persistent attention. Despite success made so far, unhelpfully intraclass diversity and interclass similarity remain two key challenges in finding an effective lower dimensional feature space for measurement. To explore a feasible solution to these issues, we propose geometry-aware graph embedding projection metric learning (GEPML) algorithm. The proposed approach first constructs graphs...

A new type of amphiphilic block copolymers, poly(ethylene glycol)-block-poly(2-methyl-acrylicacid 2-methoxy-5-methyl-[1,3]dioxin-5-ylmethyl ester) (PEG-b-PMME), bearing acid-labile six-membered ortho ester rings in side chains was synthesized by reversible addition–fragmentation chain-transfer polymerization, and the influence chain length hydrophobic PMME on micelle properties investigated. The PEG-b-PMME micelles were stable aqueous buffer at physiological pH with a low critical...

One new steroid alkaloid, 12β-hydroxylveratroylzygadenine (1) and four known compounds, verdine (2), jervine (3), veramarine (4), veratroylzygadenine (5), have been isolated from the roots rhizomes of Veratrum nigrum L. processed by rice vinegar. Their structures were established through a combined analysis physicochemical properties spectroscopic evidence. The assay results revealed that compounds 1, 4, 5 exhibited cell toxicity against human HL-60 cells with IC50 values 52.67, 52.90, 56.51...

Thanks to the efficacy of Symmetric Positive Definite (SPD) manifold in characterizing video sequences (image sets), image set-based visual classification has made remarkable progress. However, issue large intra-class diversity and inter-class similarity is still an open challenge for research community. Although several recent studies have alleviated above by constructing Riemannian neural networks SPD matrix nonlinear processing, degradation structural information during multi-stage...

Abstract Background Pharmacokinetic interaction is one of the most important indices for evaluation compatibility herbal medicines. Both Gancao ( Glycyrrhizae Radix et Rhizoma ) and Huanglian Coptidis are commonly used traditional Chinese medicines (TCMs). In this study, influence on pharmacokinetics was systematically studied by using berberine as a pharmacokinetic marker. Methods Extracts pieces herb pair plus were prepared with boiling water. The concentration in samples analyzed liquid...