203 results found.
Year: 2018, Volume: 18, Number: 4
... achievable sum rate in this paper, because Nc clusters and Lu paths in each cluster, where the channel we mainly focus on the sum-rate compared to others. ... geometric channel has to maximize the achievable sum rate in this paper, because Nc clusters and Lu paths in each cluster, where the channel we mainly focus on ...
Terms matched: 2 - Score: 24 - 1,172k
Year: 2023, Volume: 23, Number: 1
... each bitrate_rates available bitrate levels node in the output layer is the center of one cluster. As a lt_index last throughput index model is a combination of submodels, ... 2. HTBT algorithm top view base. The partitioning of input-output data space in clusters is Algorithm 1: Fastboot phase pseudo-code performed in the first phase, using ...
Terms matched: 2 - Score: 23 - 1,676k
Year: 2018, Volume: 18, Number: 2
... the next architectures: optimization on programming language level. In addition,- The cluster (this variant is shown in the experimental it is easy to visualize two-dimensional ... kpi.ua, artem.volokita@kpi.ua 1 Abstract — In this paper we propose a new clustering space. method based on alpha-procedure that differs with proactive The feature of this ...
Terms matched: 2 - Score: 21 - 1,139k
Year: 2018, Volume: 18, Number: 3
... to parallel code and expose algorithmic parallelism. Most Implementation is tested on a one-node cluster equipped programming models that have been created for writing of with four Tesla C1060 ... model was also used in this work. The name implies component LBM on multi-GPU clusters using CUDA and that the model is for two dimensions and at each lattice ...
Terms matched: 2 - Score: 21 - 1,169k
Year: 2021, Volume: 21, Number: 4
... distances dissatisfy the predefined criteria. In our robust line disth are grouped to one cluster. Then we calculate clustering algorithm, each candidate line is refined by the ... Adan et al. [25] are calculated via boundary detection. Then a clustering presented an integrated system that automatically provides process and redundancy removing are performed to ...
Terms matched: 2 - Score: 20 - 2,090k
Year: 2016, Volume: 16, Number: 2
... correlation ensemble base on which is a method to learn accurate TSK-fuzzy systems in spectral clustering (SS_RCE). SS_RCE uses a multi-view high-dimensional and large-scale regression problems, ... spectral embedding from other views. By matrix. iteratively applying this approach, the clusters of the two views converge to each other. Further, we compute similarity ...
Terms matched: 2 - Score: 20 - 1,513k
Year: 2020, Volume: 20, Number: 4
... used with DEEPSAM (personal) contributions are briefly explained below. on a computer cluster in the future. DPSTM v3 features fault tolerance: In this paper we ... an extension of software [30]. distributed shared-memory system (S-DSM) for clusters of Distributed PSTM version 1 (DPSTM v1) was introduced workstations, see ...
Terms matched: 2 - Score: 18 - 1,188k
Year: 2019, Volume: 19, Number: 4
... F. Pla, J. M. Sotoca, P. GarcÃa-Sevilla, "Clustering- Bruzzone, G. Camps-Valls, J. Chanussot, M. Fauvel ... selection. and spectral information of a band combination using a Some examples are a clustering-based method developed minimum number of bands [12]. Another method is the ...
Terms matched: 2 - Score: 16 - 197k
Year: 2012, Volume: 12, Number: 1
... is still puzzled by a series of problems, such as new way for introducing cluster analysis, pattern recognition complicated in cooperation relationship, long in operation and principal ... Cluster Analysis. probability of sample came from G1 which is regarded as The above Cluster-Analysis-based method and Pattern- Recognition-based method do not reduce the dimensions of G2 is ...
Terms matched: 2 - Score: 15 - 629k
Year: 2008, Volume: 8, Issue: 1
... instances with respect to the models. sequencing is supported partially by the PMML • Cluster Scoring. The scoring method receives as specification. input a set of instances ... one or more Examples of sequencing include: clustering models and assigns the instances to • The missing values in a regression model can be the most appropriate cluster in ...
Terms matched: 2 - Score: 14 - 589k