Publications
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Focal Loss for Dense Object Detection
The highest accuracy object detectors to date are based on a two-stage approach popularized by R-CNN, where a classifier is applied to a sparse set of candidate object locations...
Some methods for classification and analysis of multivariate observations
This paper describes a number of applications of the 'k-means', a procedure for classifying a random sample of points in E sub N. The procedure consists of starting with k group...
Compressed sensing
Suppose x is an unknown vector in Ropf <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">m</sup> (a digital image or signal); we pla...
Canonical dynamics: Equilibrium phase-space distributions
Nos\'e has modified Newtonian dynamics so as to reproduce both the canonical and the isothermal-isobaric probability densities in the phase space of an N-body system. He did thi...
Prosedur Penelitian Suatu Pendekatan Praktik
Agak berbeda dengan buku-buku Metodologi Riset yang sudah ada. Buku ini disajikan sesuai dengan urutan langkah dalam mengadakan penelitian. Oleh karena langkah penelitian yang m...
HTSeq—a Python framework to work with high-throughput sequencing data
Abstract Motivation: A large choice of tools exists for many standard tasks in the analysis of high-throughput sequencing (HTS) data. However, once a project deviates from stand...
Introducing mothur: Open-Source, Platform-Independent, Community-Supported Software for Describing and Comparing Microbial Communities
ABSTRACT mothur aims to be a comprehensive software package that allows users to use a single piece of software to analyze community sequence data. It builds upon previous tools...