Topic
Sorting
About: Sorting is a research topic. Over the lifetime, 27408 publications have been published within this topic receiving 323490 citations. The topic is also known as: sort & ordering.
Papers published on a yearly basis
Papers
More filters
TL;DR: In this paper, the theory of two impacting elastic spheres was used as a model to analyze different impact sensing techniques for sensing firmness of fruits, and it was found that the technique of impacting the fruit with a low-mass impactor has many advantages over the method of dropping the fruit on a force sensor.
4 citations
01 Jul 2021
TL;DR: In this paper, the authors show how increasing returns to scale in urban scaling can artificially emerge, systematically and predictably, without any sorting or positive externalities, and employ a model where individual p
Abstract: We show how increasing returns to scale in urban scaling can artificially emerge, systematically and predictably, without any sorting or positive externalities We employ a model where individual p
4 citations
TL;DR: Tests conducted for streaming data reveal an outstanding performance, in terms of sensitivity and specificity, as well as, a fast auto-adaptability, which demonstrate the power of the proposed approach towards a real-time and automatic detection, undoubtedly beneficial for clinical practice.
4 citations
TL;DR: The use of KiloSort to identify single units from multi-channel recording in the VTA and SNc is accurate and efficient, and required substantially less time to complete, while yielding comparable and consistent results.
Abstract: Extracting single-unit activity from in vivo extracellular neural electrophysiology data requires sorting spikes from background noise and action potentials from multiple cells in order to identify the activity of individual neurons. Typically this has been achieved by algorithms that employ principal component analyses followed by manual allocation of spikes to individual clusters based on visual inspection of the waveform shape. This method of manual sorting can give varying results between human operators and is highly time-consuming, especially in recordings with higher levels of background noise. To address these problems, automatic sorting algorithms have begun to gain popularity as viable methods for sorting electrophysiological data, although little is known about the use of these algorithms with neural data from midbrain recordings. KiloSort is a relatively new algorithm that automatically clusters raw data which can then be manually curated. In this report, we compare results of manually-sorted and KiloSort-processed recordings from the ventral tegmental area (VTA) and substantia nigra pars compacta (SNc). Sorting with KiloSort required substantially less time to complete, while yielding comparable and consistent results. We conclude that the use of KiloSort to identify single units from multi-channel recording in the VTA and SNc is accurate and efficient.
4 citations
01 Jan 2017
TL;DR: Secure multiparty computation technology and dimensionality reduction are chosen to design a privacy-preserving protocol, which sorts m people according to their similarity, which can be improved in security at the cost of complexity.
Abstract: In social network, it is conceivable that a rational execution sequence does good to cooperative mission, especially for a large number of participants. However, there are many difficulties for multi-party computation, the most important of which is privacy. In this paper, secure multiparty computation technology and dimensionality reduction are chosen to design a privacy-preserving protocol, which sorts m people according to their similarity. In a n dimensional system, the secure protocol’s time complexity is O(mn+n+m logm) and communication complexity is O(m). Detailed analysis about security and applicability are also presented in this paper. In addition, the protocol can be improved in security at the cost of complexity, with an arbitration agreement designed against fraud.
4 citations