Articles — Recent
Papers, presentations, reports and more, written in LaTeX and published by our community. Search or browse below.
![LaTeX practice/tutorial](https://writelatex.s3.amazonaws.com/published_ver/12734.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240701T021843Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240701/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=de75e3d77021a6a5b5393f7a3bd6542046ff0f50edd40e69210a5bac4906097a)
LaTeX practice/tutorial
LaTeX practice/tutorial demonstrated using convolution.
ROJAS SOLIS JUAN CARLOS
![BIO 230 Probability Theory and Applications HW I](https://writelatex.s3.amazonaws.com/published_ver/2242.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240701T021844Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240701/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=28b9b8ace36dc548f5c038b58a0b151efec9e3b70889ec179c2d8cc2cbd033de)
BIO 230 Probability Theory and Applications HW I
This is only a homework draft
Lana N A
![bib](https://writelatex.s3.amazonaws.com/published_ver/1318.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240701T021844Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240701/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=8dfbccdd8cd339d327b863ffebdafa4d695479addfb8c9ad62c05294fac56773)
bib
bibliografy
yacine hafidi
![JRA poster](https://writelatex.s3.amazonaws.com/published_ver/1312.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240701T021844Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240701/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=67ffec6d53d96a294d3a0545d7cbbe25224ee30a8e2dba6f7742b4e4936d29c2)
JRA poster
a1poster Portrait Poster
LaTeX Template
Version 1.0 (22/06/13)
The a0poster class was created by:
Gerlinde Kettl and Matthias Weiser (tex@kettl.de)
This template has been downloaded from:
http://www.LaTeXTemplates.com
License:
CC BY-NC-SA 3.0 (http://creativecommons.org/licenses/by-nc-sa/3.0/)
wraggyness
![I love math](https://writelatex.s3.amazonaws.com/published_ver/6253.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240701T021844Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240701/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=e0173f614f10e70962162185153fb8148f34976db8a8a23d2cba150f9f330e94)
I love math
j'aimes les math par une courbe paramétrique de cœur !
Noureddine
![An application of the Ncut algorithm, with an open-source implementation (in the R environment).](https://writelatex.s3.amazonaws.com/published_ver/8146.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240701T021844Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240701/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=e6d89a74f1ae2c3780a5f3b275e2f8b1af70e24d6bc0637180f6f3aa739b6441)
An application of the Ncut algorithm, with an open-source implementation (in the R environment).
Although the analysis of data is a task that has gained the interest of the statistical community in recent years and whose familiarity with the statistical computing environment, they encourage the current statistical community (to students and teachers of the area) to complete statistical analysis reproducible by means of the tool R. However for years there has been a gap between the calculation of matrices on a large scale and the term "big data", in this work the Normalized Cut algorithm for images is applied. Despite the expected, the R environment to do image analysis is poorly, in comparison with other computing platforms such as the Python language or with specialized software such as OpenCV.
Being well known the absence of such function, in this work we share an implementation of the Normalized Cut algorithm in the R environment with extensions to programs and processes performed in C ++, to provide the user with a friendly interface in R to segment images. The article concludes by evaluating the current implementation and looking for ways to generalize the implementation for a large scale context and reuse the developed code.
Key words: Normaliced Cut, image segmentation, Lanczos algorithm, eigenvalues and eigenvectors, graphs, similarity matrix, R (the statistical computing environment), open source, large scale and big data.
José Antonio garcia
![Assignment 1](https://writelatex.s3.amazonaws.com/published_ver/2189.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240701T021844Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240701/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=3dbbb2f48545c6cea1a8ad9863962060cd650b158237e7bca222026a7c2b13c4)
Assignment 1
Math 471 Homework 1
Lorenzo Rodriguez
![Mr.](https://writelatex.s3.amazonaws.com/published_ver/1297.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240701T021844Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240701/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=bc7c3c1367b494464d3762fa58ba2d7a71cbc3b5caf1d5b40f4694058e9e7a89)
Mr.
Revisions
Dennis Zhang
![PhD Candidature Confirmation Report](https://writelatex.s3.amazonaws.com/published_ver/10952.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240701T021844Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240701/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=2f919410871f31c7f32bd7b1e57b8808c5e120157f6361bca640efbd42de4d50)
PhD Candidature Confirmation Report
Achieving High Mean Accuracy with
Semi-Supervised Learning using Small
Number of Labeled Observations
Sayed W Qayyumi