8). To gain understanding into the difference between a clustering-based approach (FindAllMarkers) and the clustering-independent singleCellHaystack, we focus on seven example genes. For the gene Ctla2a (Fig. 4c
Zhou, X., Yu, H. (2007). A Clustering-Based Approach for Tracing Object-Oriented Design to Requirement. In: Dwyer, M.B., Lopes, A. (eds) Fundamental Approaches to Software Engineering. FASE 2007. Lecture Notes in Computer Science, vol 4422. Springer, Berlin, Heidelberg. https://doi.o...
This paper provides a clustering based approach to distinguish the data representing flows of network traffic which include both normal and Distributed Denial of Service (DDoS) traffic. The features are taken for victim-end identification of attacks and the work is demonstrated with three features ...
Revisiting Foreground and Background Separation in Weakly-supervised Temporal Action Localization: A Clustering-based Approach Qinying Liu, Zilei Wang, Shenghai Rong, Junjie Li, Yixin Zhang ICCV2023 [Paper]Data PreparationDownload the features of THUMOS14 from dataset.zip. Place the features inside ...
A game theory-based distributed clustering approach for wireless sensor networks is proposed in [3]. A non-cooperative game theory-based algorithm is proposed in this work to control the sensor node’s energy consumption in the network. The work shows that it is better in terms of energy cons...
However, the previously proposed cluster-based approach encodes utterances as bag-of-words or skip-thought vectors without using dialogue context. Hence, we proposed to adopt more powerful transformer-based sentence encoders and contributed ellodar, a highly efficient approach for learning dialogue ...
e, Polar plot showing the distribution of velocity vectors detected in the nuclear region based on actin signal. e′, Directional velocity vectors as shown in e divided into four categories based on their orientation in respect to the nuclear centre (0°). Each category encompasses 120°. f,...
Our methodology establishes groups characterizing opposing behaviours based on a key multinomial survey question by constraining parts of our prior judgement within a Bayesian finite mixture model. Drivers of group membership and withinゞroup behavioural differences are modelled hierarchically by using further...
Machine Learning Fundamentals | Introduction to Machine Learning, Part 1(2:37)- Video Data Preprocessing with MATLAB(9:14)- Video Select a Web Site Choose a web site to get translated content where available and see local events and offers. Based on your location, we recommend that you selec...
The shape-based approach employs the conventional clustering methods to match two time-series shapes by a non-linear stretching and contracting of the time axes using a distance or similarity measure appropriate for the time series. The feature-based convert the raw time series into feature vectors...