arxiv.org/abs/2508.10211v1
Designing efficient quasi-Newton methods is an important problem in nonlinear optimization and the solution of systems of nonlinear equations. From the perspective of the matrix approximation process, this paper presents a unified framework for estab...
arxiv.org/abs/1709.08439v1
Agile - denoting "the quality of being agile, readiness for motion, nimbleness, activity, dexterity in motion" - software development methods are attempting to offer an answer to the eager business community asking for lighter weight along with faste...
arxiv.org/abs/2302.02412v1
Diffusion methods have been proven to be very effective to generate images while conditioning on a text prompt. However, and although the quality of the generated images is unprecedented, these methods seem to struggle when trying to generate specifi...
arxiv.org/abs/1402.4109v1
Block outlier detection methods, based on Tietjen-Moore (TM) and Shapiro-Wilk (SW) tests, are proposed to detect and suppress spectrum sensing data falsification (SSDF) attacks by malicious users in cooperative spectrum sensing. First, we consider ba...
arxiv.org/abs/astro-ph/0302482v1
This paper presents the results of the observations of the detectors participating in the International Gravitational Event Collaboration (IGEC) from 1997 to 2000 and reviews the data analysis methods. The analysis is designed to search for coincid...
arxiv.org/abs/1903.12264v1
Recall assistance methods are among the key aspects that improve the accuracy of online dietary assessment surveys. These methods still mainly rely on experience of trained interviewers with nutritional background, but data driven approaches could im...
arxiv.org/abs/2302.13579v2
We consider entropy conservative and dissipative discretizations of nonlinear conservation laws with implicit time discretizations and investigate the influence of iterative methods used to solve the arising nonlinear equations. We show that Newton's...
arxiv.org/abs/2401.05934v1
Recent advances in machine learning have led to the development of new methods for enhancing Monte Carlo methods such as Markov chain Monte Carlo (MCMC) and importance sampling (IS). One such method is normalizing flows, which use a neural network to...
www.bing.com/ck/a?!&&p=c014ecdf6e723329dba0b38329ed1686c5f16ddabead44f628a4921fee54c23aJmltdHM9MTc3MjU4MjQwMA&ptn=3&ver=2&hsh=4&fclid=3d66b77f-2c37-61f9-3554-a06d2db96070&u=a1aHR0cHM6Ly93d3cuemhpaHUuY29tL3F1ZXN0aW9uLzUwOTUwNzUxMg&ntb=1
这是SCI写作的第四弹,同样是自问自答! 材料与方法 (Materials and Methods)部分其实是最容易被忽略的一个部分,但是其实这一部分是非常关键的,是整篇论文的根基! 第一,这一章是审稿人看的最 …
arxiv.org/abs/2512.10650v1
Common methods for studying the kinematics and geometry of outflowing gas rely on modeling emission and absorption lines in integrated spectra using methods that are not physically motivated, including empirical quantiles or fitting multiple Gaussian...
arxiv.org/abs/2410.08097v1
We introduce a LiDAR inertial odometry (LIO) framework, called LiPO, that enables direct comparisons of different iterative closest point (ICP) point cloud registration methods. The two common ICP methods we compare are point-to-point (P2P) and point...
arxiv.org/abs/1304.6508v1
A Sinc-collocation method has been proposed by Stenger, and he also gave theoretical analysis of the method in the case of a `scalar' equation. This paper extends the theoretical results to the case of a `system' of equations. Furthermore, this paper...
arxiv.org/abs/2310.09232v2
This paper is on developing some computer-assisted proof methods involving non-classical inequalities for Shannon entropy. Two areas of the applications of information inequalities are studied: Secret sharing schemes and hat guessing games. In the fo...
arxiv.org/abs/2011.02540v1
This is the preface to the special issue of the Journal of Physics A: Mathematical and Theoretical, entitled "New trends in first-passage methods and applications in the life sciences and engineering"...
arxiv.org/abs/2510.15727v2
This paper presents methods for extracting structured information from invoice documents and proposes a set of evaluation metrics (EM) to assess the accuracy of the extracted data against annotated ground truth. The approach involves pre-processing s...
arxiv.org/abs/2109.07069v2
Class Activation Mapping (CAM) methods have recently gained much attention for weakly-supervised object localization (WSOL) tasks. They allow for CNN visualization and interpretation without training on fully annotated image datasets. CAM methods are...
arxiv.org/abs/2004.13188v1
Deep learning based methods have achieved impressive results in many applications for image-based diet assessment such as food classification and food portion size estimation. However, existing methods only focus on one task at a time, making it diff...
www.bing.com/ck/a?!&&p=e8b6735fb062d1d95b5c402a514d58a8a7ef5b185d145c2f0fccb5f2e9bc31caJmltdHM9MTc3MjU4MjQwMA&ptn=3&ver=2&hsh=4&fclid=28fb98df-5b59-6046-08b2-8fcd5ada614d&u=a1aHR0cHM6Ly9zdGFja292ZXJmbG93LmNvbS9xdWVzdGlvbnMvNTEyNjY1ODIvZGlmZmVyZW5jZS1iZXR3ZWVuLXN0cmluZy10cmltLWFuZC1zdHJpcC1tZXRob2Rz&ntb=1
The String.strip (), String.stripLeading (), and String.stripTrailing () methods trim white space [as determined by Character.isWhiteSpace ()] off either the front, back, or both front and back of the …
www.bing.com/ck/a?!&&p=e6a5c351e90361ab26aebae320ef7ddd14b979e7c3d6f2dc42db57e3654a6239JmltdHM9MTc3MjU4MjQwMA&ptn=3&ver=2&hsh=4&fclid=09f0df3b-06cc-60e2-30ee-c829079b61e2&u=a1aHR0cHM6Ly93d3cuZmluYW5jZXN0cmF0ZWdpc3RzLmNvbS9hY2NvdW50aW5nL2Nvc3QtYWNjb3VudGluZy9jb3N0aW5nLW1ldGhvZHMtYW5kLXRlY2huaXF1ZXMv&ntb=1
Mar 2, 2023 · Choosing the right costing method is essential for success in any business. Read this article now as we compare various costing methods and techniques.
arxiv.org/abs/2006.15411v1
This chapter considers how string-based methods might be adapted to address music-analytic questions related to the discovery of musical organization, with particular attention devoted to the analysis of tonal harmony. I begin by applying the taxonom...