j Snapshots of a soft robotic gripper that grabs objects with different temperatures. k Readouts of the three sensors when the gripper grabs objects in (j). Scale bars in (c, h, j), 10 mm. Full size image CM 3D printing of ceramic-polymer structures The CM 3D printing system also ...
例如图2即为一个典型的网络实例(network instance,following 某种 network schema的信息网络可以称为这种网络模式的网络实例)from DBLP 网络模式(Network schema) 异构信息网络(G = (V, E)with ϕ(v) ∈ A 并且 ψ(e) ∈ R)的network schema TG = (A, R),要指定objects和links的类型约束,就是这种约束...
yaml.snakeyaml (Java), safe_load() of PyYaml (Python), XmlReader() of System.Xml (C#). These limited deserializers can only perform the instantiation of objects in a white list, forbidding the instantiation of unknown class. These limited deserializers are represented as safe_load() in ...
code to parallel, but it also enables a single code-base to be maintained instead of requiring parallel, serial, and distributed versions of a code.pathosmaps can be nested, thus hierarchical heterogeneous computing is possible by merely selecting the desired hierarchy ofmapandpipe(apply) objects....
Moreover, programmers do not need to explicitly choose different vendor platforms to use different accelerators in the same OpenCL application. OpenCL objects can be shared across different platforms in the same application without explicit data copying through the host main memory. Many studies have...
Traditional research methods model them as homogeneous networks, ignoring the heterogeneity of objects and links. To comprehensively model the rich structural and semantic information in complex systems, researchers have proposed the concept of heterogeneous information networks (Shi et al., 2016a) and ...
BMC Bioinformatics 2010, 11:9 http://www.biomedcentral.com/1471-2105/11/9 SOFTWARE Open Access PyMix - The Python mixture package - a tool for clustering of heterogeneous biological data Benjamin Georgi1,4*, Ivan Gesteira Costa2, Alexander Schliep1,3 Abstract Background: Cluster analysis is ...
Compared to Grad-CAM, LayerCAM has the distinct advantage of generating reliable class activation maps by identifying the most relevant pixels for target objects48 across multiple layers of a CNN, rather than relying solely on the final convolutional layer. LayerCAM employs gradient-based techniques ...
LabeledMixtureModelandConstrainedMixtureModelrepresent two different approaches to semi-supervised learning. The former implements semi-supervised learning with hard labels, the latter with pairwise constraints on the data points. Full documentation of the objects hierarchy in PyMix (including the dependence...
Returns a list of ModuleSpec objects for the transformer layers in the heterogeneous model. 167 + 168 + Args: 169 + config (HeterogeneousTransformerConfig): Heterogeneous Transformer configuration. 170 + use_te (bool, optional): To use Transformer-Engine. Defaults to False. 171 + 172 + ...