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In recent years, artificial neural networks a.k.a. deep learning have significantly improved the fields of computer vision, speech recognition, and natural language processing. The success relies on t...
2018 Workshop on Expected Characteristic Polynomial Techniques and Applications
2018 Workshop Expected Characteristic Polynomial Techniques and Applications
2017/12/20
A central goal of the program is to further connections between problems in infinite and finite dimensioQLAWS1_imagenal linear algebra. This workshop will focus on the expected characteristic polynomi...
2017模型降阶技术与应用研讨会(Minisymposia:Model Order Reduction Techniques and Applications)
2017 模型降阶技术 应用 研讨会
2017/5/23
Model Order Reduction techniques represent an advanced simulation tool for a large variety of problems of practical and fundamental interest in both industrial and research applications. Indeed, despi...
The 2017 American Control Conference will be held Wednesday through Friday, May 24-26 at the Sheraton Seattle Hotel, centrally located in the heart of downtown Seattle, WA. Sheraton Seattle Hotel is n...
PRECONDITIONING TECHNIQUES IN FRAME THEORY AND PROBABILISTIC FRAMES
Parseval frame Scalable frame Fritz John Theorem Probabilistic frames frame potential continuous frames
2015/12/10
In this chapter we survey two topics that have recently been investigated in frame theory. First, we give an overview of the class of scalable frames.These are (finite) frames with the property that e...
Comparison of Wavelet and FFT Based Single Channel Speech Signal Noise Reduction Techniques
DWT DWPT wavelet wavelet packet FFT noise control speech enhancement noise cancellation filter
2015/9/29
This paper compares wavelet and short time Fourier transform based techniques for single channel speechsignal noise reduction. Despite success of wavelet denoising of images, it has not yet been widel...
Techniques for exploring the suboptimal set
Convex optimization Suboptimal set Support function Ellipsoidal approximations
2015/8/7
The epsilon-suboptimal set mathcal X_epsilon for an optimization problem is the set of feasible points with objective value within epsilon of optimal. In this paper we describe some basic techniques f...
Analysis of Systematic Scan Metropolis Algorithms Using Iwahori–Hecke Algebra Techniques
Analysis system scanning the metropolis algorithm Iwahori - Hecke algebraic techniques
2015/7/14
Analysis of Systematic Scan Metropolis Algorithms Using Iwahori–Hecke Algebra Techniques。
Morphological Terrain Classification and Analysis Using Geostatistical Techniques
Spatial Information Systems DEM/DTM Geomorphology
2015/7/6
Nowadays there is a wide range of systems that provide an efficient and fast data capture for the DEM generation and the spread of
the computer systems has allowed the use of DEM to a high number of ...
COMPARISON OF PARSING TECHNIQUES FOR THE SYNTACTIC PATTERN RECOGNITION OF SIMPLE SHAPES
algorithms vision pattern recognition understanding
2015/6/2
Syntactic Pattern Recognition is a procedure, widely used in Cartography and Remote Sensing, that trusts upon matching of sections
of maps and/or images or 3D models with archetypes or objects (pars...
Charting Techniques for Dynamic Processes: Literature Review and Extensions
Statistical Process Control SPC Dynamic Process Multivariate Process
2015/3/18
In modern manufacturing environments,
both multivariate and dynamic natures have become
increasingly important. Many multivariate and dynamic processes, such as processes with feedback
control and ...
The 9th International Conference on Optimization: Techniques and Applications (ICOTA 9) will be held in Taipei
The 9th International Conference Optimization Techniques and Applications ICOTA 9 Taipei
2013/4/27
We are pleased to announce that the 9th International Conference on Optimization: Techniques and Applications (ICOTA 9) will be held in Taipei, Taiwan on December 12-16, 2013. It is a continuation of ...
Simple techniques for likelihood analysis of univariate and multivariate stable distributions: with extensions to multivariate stochastic volatility and dynamic factor models
Univariate and multivariatestable distributions MCMC Approximate,Aayesian,Computation Characteristic function
2012/11/21
In this paper we consider a variety of procedures for numerical statistical inference in the family of univariate and multivariate stable distributions. In connection with univariate distributions (i)...
Coupling techniques for nonlinear hyperbolic equations. IV. Multi-component coupling and multidimensional well-balanced schemes
nonlinear hyperbolic equations Multi-component coupling multidimensional well-balanced schemes Analysis of PDEs
2012/6/14
This series of papers is devoted to the formulation and the approximation of coupling problems for nonlinear hyperbolic equations. The coupling across an interface in the physical space is formulated ...
Techniques of computations of Dolbeault cohomology of solvmanifolds
Dolbeault cohomology solvmanifolds Differential Geometry
2011/9/20
Abstract: We consider semi-direct products $\C^{n}\ltimes_{\phi}N$ of Lie groups with lattices $\Gamma$ such that $N$ are nilpotent Lie groups with left-invariant complex structures. We compute the Do...