19 papers · ranked by Valyu relevance
Youjie Zhou, Yiming Wang, Fabio Poiesi, Qi Qin + 1 more
— We present a simple yet effective method to address loop closure detection in simultaneous localisation and mapping using local 3D deep descriptors (L3Ds). L3Ds are emerging compact representations of patches extracted from point clouds that are learnt from data using a deep learning algorithm. We propose a novel…
Siyuan Chen, Jiuming Wang, Xin Gao, Yu Li
Identifying chromatin loops from genome-wide interaction matrices like Hi-C data is notoriously difficult. Such kinds of patterns can span through the genome from a hundred kilobases to thousands of kilobases. Most loop patterns are frequently related to biological functions, such as providing contacts between…
Michaël Liefsoens, Timothy Földes, Maria Barbi
Involved in mitotic condensation, interaction of transcriptional regulatory elements or isolation of structural domains, understanding loop formation is becoming a paradigm in the deciphering of chromatin architecture and its functional role. Despite the emergence of increasingly powerful genome visualization…
Kaiwei Tang, Qing Wang, Chao Yan, Yang Sun + 4 more
Loop closure detection is essential for improving the long-term consistency and robustness of simultaneous localization and mapping (SLAM) systems. Existing LiDAR-based loop closure approaches often rely on limited or partial geometric features, restricting their performance in complex environments. To address these…
Michaël Liefsoens, Timothy Földes, Maria Barbi
Involved in mitotic condensation, interaction of transcriptional regulatory elements or isolation of structural domains, understanding loop formation is becoming a paradigm in the deciphering of chromatin architecture and its functional role. Despite the emergence of increasingly powerful genome visualization…
Quande Yuan, Zhenming Zhang, Yuzhen Pi, Lei Kou + 4 more
'Min Xia' 'Teng Li' 'Clarence de Silva'] As visual simultaneous localization and mapping (vSLAM) is easy disturbed by the changes of camera viewpoint and scene appearance when building a globally consistent map, the robustness and real-time performance of key frame image selections cannot meet the requirements. To…
Yusen Ye, Yuxuan Hu, Shihua Zhang, Hebing Chen + 1 more
Single-cell 3D genome mapping offers insights into chromatin architecture, yet the inherent sparsity and high dimensionality of contact maps hinder reliable identification of chromatin loops at the single-cell level. Here, we present CellLoop, a single-cell chromatin loop detection algorithm based on a density-based…
Fangdi Jiang, Wanqiu Wang, Hongru You, Shuhang Jiang + 5 more
'Jonghyuk Kim' 'Shifeng Wang' 'Thierry Badard' 'Stephane Guinard'] Loop-closure detection plays a pivotal role in simultaneous localization and mapping (SLAM). It serves to minimize cumulative errors and ensure the overall consistency of the generated map. This paper introduces a multi-sensor fusion-based loop-closure…
Shibin Song, Fengjie Yu, Xiaojie Jiang, Jie Zhu + 2 more
'Xiao Fang'] Loop closure detection is an important module for simultaneous localization and mapping (SLAM). Correct detection of loops can reduce the cumulative drift in positioning. Because traditional detection methods rely on handicraft features, false positive detections can occur when the environment changes…
Jiangyuan Liu, Johan H. Gibcus, Job Dekker
Chromatin loop calling from chromatin interaction data often exhibits substantial variability across related samples. We present UnionLoops, a computational workflow for chromatin loop calling across multiple related samples. UnionLoops integrates information across datasets to determine positions and…
Chuhao Liu, Shaojie Shen
— Loop detection plays a key role in visual Simultaneous Localization and Mapping (SLAM) by correcting the accumulated pose drift. In indoor scenarios, the richly distributed semantic landmarks are view-point invariant and hold strong descriptive power in loop detection. The current semantic-aided loop detection embeds…
H. M. A. Mohit Chowdhury, Terrance Boult, Oluwatosin Oluwadare
The chromosome is a fundamental component of cell biology, housing DNA that encapsulates hierarchical genetic information. DNA compresses its size by forming loops, and these loop regions contain numerous protein particles, including CTCF, SMC3, H3 histone, and Topologically Associating Domains (TADs). In this study…
Shayan Dadman, Bernt Arild Bremdal, Børre Bang, Rune Dalmo
This paper introduces an unsupervised framework for detecting audio patterns in musical samples (loops) through anomaly detection techniques, addressing challenges in music information retrieval (MIR). Existing methods are often constrained by reliance on handcrafted features, domain-specific limitations, or dependence…
Jan Kijonka, Petr Vavra, Pavel Zonca, Marek Penhaker
This paper deals with a wavelet-based algorithm for automatic detection of isoelectric coordinates of individual QRS loops of VCG record. Fiducial time instants of QRS peak, QRS onset, QRS end, and isoelectric PQ interval are evaluated on three VCG leads $(X,\text{ }Y,\text{ }Z)$ together with global QRS boundaries of…
Justine Pallu, Charlie Rabin, Pan Hui, Thamires Moreira + 4 more
The strength of autocatalytic reactions lies in their ability to provide a powerful means of molecular amplification, which can be very useful for improving the analytical performances of a multitude of analytical and bioanalytical methods. However, one of the major difficulties in designing an efficient autocatalytic…
Qi Wang, Weinan Xie, Boqi Xi, Hanshi Li + 3 more
'Piero Malcovati'] The vector control method is applied to a whole angle hemispherical resonator gyroscope (HRG). The detection and control of the resonator vibration state are implemented using orthogonal X/Y channels. However, the performance of the HRG is limited by the asymmetry in the gain and phase delay of X/Y…
William Daniels, Meng Jia, Dorit Hammerling
We propose a generic, modular framework for emission event detection, localization, and quantification on oil and gas production sites that uses concentration data collected by pointin-space continuous monitoring systems (CMS). The framework uses a gradient-based spike detection algorithm to estimate emission start and…
William Daniels, Meng Jia, Dorit Hammerling
We propose a generic, modular framework for methane emission event detection, localization, and quantification on oil and gas production sites that uses concentration and wind data collected by point-in-space continuous monitoring systems. The framework uses a gradient-based spike detection algorithm to estimate…
Luiza Wasiewska, Ian Seymour, Vuslat Juska, Kaye Burgess + 2 more
Escherichia coli (E. coli) are a group of bacteria, which are a natural part of the intestinal flora of warm-blooded animals, including humans. Most E. coli are non-pathogenic and are essential for the normal function of a healthy intestine, however, certain types such as Shiga toxin-producing E. coli (STEC) is a…