A5103205655- Sparse and Compressive Sensing Techniques
- Blind Source Separation Techniques
- Natural Language Processing Techniques
- Microwave Imaging and Scattering Analysis
- Random lasers and scattering media
- Image and Signal Denoising Methods
- Topic Modeling
- Advanced Adaptive Filtering Techniques
- Digital Filter Design and Implementation
- Text Readability and Simplification
- Advanced Data Compression Techniques
- Optical Polarization and Ellipsometry
- Near-Field Optical Microscopy
- Second Language Acquisition and Learning
- Image Retrieval and Classification Techniques
- Orbital Angular Momentum in Optics
- Advanced Image and Video Retrieval Techniques
- Photoacoustic and Ultrasonic Imaging
- Indoor and Outdoor Localization Technologies
- Microbial Natural Products and Biosynthesis
- Gastrointestinal Bleeding Diagnosis and Treatment
- Optical Network Technologies
- Distributed Control Multi-Agent Systems
- Thermochemical Biomass Conversion Processes
- Energy Efficient Wireless Sensor Networks
National Taiwan University
2020-2023
Zhejiang University of Technology
2013-2022
Hebei Medical University
2022
State Administration of Traditional Chinese Medicine of the People's Republic of China
2022
Zhejiang University
2019
National Taiwan Normal University
2014-2016
Henan University
2015
Pfizer (United States)
2015
National Taipei University of Business
2014
Henan Institute of Technology
2005-2007
This paper considers the problem of designing projection matrix Φ for a compressive sensing (CS) system in which dictionary Ψ is assumed to be given. The optimal design formulated terms finding those such that Frobenius norm difference between Gram equivalent ΦΨ and identity minimized. A class solutions derived closed-form, generalization existing results. More interestingly, it revealed this solution set characterized by an arbitrary orthonormal matrix. freedom then used further enhance...
This paper introduces the SIGHAN 2015 Bake-off for Chinese Spelling Check, including task description, data preparation, performance metrics, and evaluation results. The competition reveals current state-of-the-art NLP techniques in dealing with spelling checking. All sets gold standards tool used this bake-off are publicly available future research.
This paper deals with alternating optimization of sensing matrix and sparsifying dictionary for compressed systems. Under the same framework proposed by J. M. Duarte-Carvajalino G. Sapiro, a novel algorithm optimal design is derived an optimized embedded. A closed-form solution to problem obtained. new measure optimizing developed solving corresponding problem. Experiments are carried out synthetic data real images, which demonstrate promising performance algorithms superiority CS system...
This paper introduces the NLP-TEA 2015 shared task for Chinese grammatical error diagnosis.We describe task, data preparation, performance metrics, and evaluation results.The hope is that such an campaign may produce more advanced diagnosis techniques.All sets with gold standards tools are publicly available research purposes.
Within the validity of first-order Born approximation, expressions are derived for correlation between intensity fluctuations (CIF) an electromagnetic plane wave scattered from a spatially quasi-homogeneous (QH), anisotropic medium. Upon establishing matrix scattering potential medium, we show that CIF is summation Fourier transforms strengths and normalized coefficients (NCCs) matrix. Numerical results reveal susceptible to effective width length degree polarization incident wave. Our study...
Compressive sensing (CS) is a promising focus in signal processing field, which offers novel view of simultaneous compression and sampling. In this framework sparse approximated obtained with samples much less than that required by the Nyquist sampling theorem if on one basis. Encouraged its exciting potential application compression, we use CS for speech synthesis problems. The linear prediction coding (LPC) an efficient tool as considered to be AR process. It also known quasi-periodic...
Evanescent waves generated by the scattering of polychromatic light using a spatially deterministic medium and their near-zone spectral properties, to best our knowledge, have not been addressed in literature. On basis first-order Born approximation, we formulate expressions for scattered wave assuming that potential is Gaussian profile. The dependence shift on effective sizes (ESSP) shown numerical simulations. It indicated increase either ESSP or near-field diffraction length can induce...
This study describes the construction of TOCFL (Test Of Chinese as a Foreign Language) learner corpus, including collection and grammatical error annotation 2,837 essays written by language learners originating from total 46 different mother-tongue languages. We propose hierarchical tagging sets to manually annotate errors, resulting in 33,835 inappropriate usages. Our built corpus has been provided for shared tasks on diagnosis. These demonstrate usability our annotation.
The scattering of light from an anisotropic medium, which may present either spatially random or deterministic statistics, has attracted substantial interest where the measurement structural properties scatterers is concerned. To date, however, no literature studied near-zone evanescent waves scattered a and medium. In this Letter, integral expressions are derived to represent electric fields in field. addition, dependences spectral densities field on propagation distance effective radius...
We design a highly efficient three-port channel drop filter (CDF) with only one micro-cavity based on photonic crystal (PC) one-way waveguide. According to the coupled mode theory in time, conditions achieve 100% efficiency are derived thoroughly. The numerical results all calculated by using finite element method, and accord well theoretical analysis. Compared previous CDF general dielectric PC, PC waveguide first shows almost complete tunneling at resonance via without need for any...
Traditionally, the projection matrix in compressive sensing (CS) is chosen as a random matrix. In recent years, we have seen that performance of CS systems can be improved by using carefully designed rather than one. particular, reduce coherence between columns equivalent dictionary thanks to well-designed Then, get lower reconstruction error and higher successful rate. some applications, signals interest nonzero entries occurring clusters - i.e., block-sparse signals. this paper, use...