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Article
Empirical study on meta-feature characterization for multi-objective optimization problems
Algorithm recommendation based on meta-learning was studied previously. The research on the meta-features extraction, which is a key for the success of recommendation, is lacking for multi-objective optimizati...
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Article
Open AccessMesoporous silica-coated silver nanoparticles as ciprofloxacin/siRNA carriers for accelerated infected wound healing
The colonization of bacterial pathogens is a major concern in wound infection and becoming a public health issue. Herein, a core–shell structured Ag@MSN (silver core embedded with mesoporous silica, AM)-based ...
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Article
Open AccessRecent advances in exosome-mediated nucleic acid delivery for cancer therapy
Cancer is a leading public health problem worldwide. Its treatment remains a daunting challenge, although significant progress has been made in existing treatments in recent years. A large concern is the poor ...
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Article
A CdSe/ZnS core/shell competitive quantum dot-based fluorescence-linked immunosorbent assay for the sensitive and accurate detection of aflatoxin B1 in corn sample
Aflatoxin B1 (AFB1), as the main metabolite, found in aflatoxin contaminated food is highly toxic and strictly controlled in many countries. Aiming to construct a simplified, highly sensitive, and accurate qua...
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Chapter and Conference Paper
Deep Radial Embedding for Visual Sequence Learning
Connectionist Temporal Classification (CTC) is a popular objective function in sequence recognition, which provides supervision for unsegmented sequence data through aligning sequence and its corresponding lab...
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Article
Open AccessMaize-IAS: a maize image analysis software using deep learning for high-throughput plant phenoty**
Maize (Zea mays L.) is one of the most important food sources in the world and has been one of the main targets of plant genetics and phenotypic research for centuries. Observation and analysis of various morp...
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Article
Open AccessEffects of white Gaussian noise on dynamic balance in healthy young adults
It has been known that short-time auditory stimulation can contribute to the improvement of the balancing ability of the human body. The present study aims to explore the effects of white Gaussian noise (WGN) ...
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Chapter
Machine Vision Based Phenotype Recognition of Plant and Animal
Phenotype recognition is very important for plant and animal breeding, variety selection, genomics and phenomics. It is likewise a key technology to support the high-quality development of modern agriculture. ...
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Article
Open AccessExpression of angiopoietin-like protein 2 in ovarian tissue of rat polycystic ovarian syndrome model and its correlation study
This study investigated the expression of angiopoietin-like protein 2 (ANGPTL2) in the tissues of rat models of polycystic ovary syndrome (PCOS) and its correlation with PCOS.
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Chapter and Conference Paper
Deep Cross-Species Feature Learning for Animal Face Recognition via Residual Interspecies Equivariant Network
Although human face recognition has achieved exceptional success driven by deep learning, animal face recognition (AFR) is still a research field that received less attention. Due to the big challenge in colle...
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Article
Locality-constrained framework for face alignment
Although the conventional active appearance model (AAM) has achieved some success for face alignment, it still suffers from the generalization problem when be applied to unseen subjects and images. To deal wit...
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Chapter and Conference Paper
ScoringNet: Learning Key Fragment for Action Quality Assessment with Ranking Loss in Skilled Sports
Nowadays, scoring athletes’ performance in skilled sports automatically has drawn more and more attention from the academic community. However, extracting effective features and predicting reasonable scores fo...
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Chapter and Conference Paper
End-To-End Learning for Action Quality Assessment
Nowadays, action quality assessment has attracted more and more attention of the researchers in computer vision. In this paper, an end-to-end framework is proposed based on fragment-based 3D convolutional neur...
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Chapter and Conference Paper
Iterative Reference Driven Metric Learning for Signer Independent Isolated Sign Language Recognition
Sign language recognition (SLR) is an interesting but difficult problem. One of the biggest challenges comes from the complex inter-signer variations. To address this problem, the basic idea in this paper is t...
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Article
Dissemination, divergence and establishment of H7N9 influenza viruses in China
Influenza surveillance over 15 cities across 5 provinces in China from October 2013 to July 2014 shows that the virus has diverged into distinct clades, becoming established in chickens and also disseminating ...
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Chapter and Conference Paper
OMEG: Oulu Multi-Pose Eye Gaze Dataset
Data is in a very important position for pattern recognition tasks including eye gaze estimation. In the literature, most researchers used normal face datasets, which are not specifically designed for eye gaze...
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Chapter and Conference Paper
Curve Matching from the View of Manifold for Sign Language Recognition
Sign language recognition is a challenging task due to the complex action variations and the large vocabulary set. Generally, sign language conveys meaning through multichannel information like trajectory, han...
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Article
The genesis and source of the H7N9 influenza viruses causing human infections in China
Evolutionary analyses show that H7 influenza viruses probably transferred from ducks to chickens in China on at least two independent occasions, and that reassortment with H9N2 viruses generated the H7N9 outbr...
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Chapter and Conference Paper
Locality-Constrained Active Appearance Model
Although the conventional Active Appearance Model (AAM) has achieved some success for face alignment, it still suffers from the generalization problem when be applied to unseen subjects and images. In this pap...
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Chapter and Conference Paper
Morphable Displacement Field Based Image Matching for Face Recognition across Pose
Fully automatic Face Recognition Across Pose (FRAP) is one of the most desirable techniques, however, also one of the most challenging tasks in face recognition field. Matching a pair of face images in differe...
