H. Chen, X. Cai, D. Zhu, F. Nie, T. Liu, and H. Huang. Group-wise consistent parcellation of gyri via adaptive multi-view spectral clustering of fiber shapes. Internation- al Conference on Medical Image Computin
For instance, complex, adaptive signatures such as information theoretic measures of transfer entropy (the directed statistical dependence between a source and a target time series15,16,17,18), integrated information (the information integrated by the interactions within the system19,20), topological ...
Schematics of the proposed approach. Combining coarse-graining (a) and hierarchical DeepONets (b). (a) Reduced order modeling technique based on clustering the species’ quantum energy states (schematized as black dots and as functions of vibrational,ϵv, and rotational energy,ϵJ) into mac...
Existing methods [14] adopt multi-instance learning to alleviate the wrong labeling problem. However, the above methods rely heavily on the quality of featuring engineering. Zeng et al. propose the piece-wise max-pooling strategy over multi-instance learning. This approach can automatically learn ...
4.3. Adaptive auto-scaling in multi-tenant architecture In this experiment, we present the ability of ADA-RP framework to take automatic scaling decisions in a multi-tenant cloud environment. In such environments, tenants may share resources of a single instance to achieve economies. As a result...
Testing these ideas empirically is inherently challenging. For practical reasons, the transitions between arousal states have predominantly been studied in coarse-sampled macroscale (i.e., brain regions to whole-brain) recordings. For instance, complex, adaptive signatures such as information theoretic me...
The object scans are extracted from a scene point cloud according to the point- level instance segmentation annotations provided by the two Table 1. Statistics of the proposed dataset ScanSalon. Chair Desk Sofa Bed Lamp Car Total Real Scans 4,651 1,630 428 365 133 437 7,644 P...
(bud flush, bud set, and height growth, respectively). For each trait, QTL clusters regrouped all single QTLs positioned in the same genomic regions at the level of the composite map, i.e. having shared orthologous loci in their -1LOD confidence intervals. For instance, on LG I, two ...
(Fig.3a). Transcriptionally similar cells are first grouped into pseudo-bulks, which can be based on metadata features, or partially overlapping cell neighborhoods30. For instance, cells can be pseudobulked by cell type, donor and organ to perform differential analysis across cell types while ...
At the beginning of each training epoch, all workers train the global model from the master locally to get a local model instance and an evaluated cost (e.g., loss function value). Each worker sends its cost to the master and waits for the master’s command. The master selects the ...