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1,423 results for “separation”
Source Separation Dataset for Knowledge Boosting (Part 1)
<p><strong>Part 1 of the Source Separation Dataset</strong> as described in <em>Knowledge boosting during low-latency inference</em> (Interspeech 2024)</p> <p><strong>Abstract:</strong> Models for low-latency, streaming applications could benefit from the knowledge capacity of larger models, but edge devices cannot run these models due to resource constraints. A possible solution is to transfer hints during inference from a large model running remotely to a small model running on-device. However, this incurs a communication delay that breaks real-time requirements and does not guarantee that both models will operate on the same data at the same time. We propose knowledge boosting, a novel technique that allows a large model to operate on time-delayed input during inference, while still boosting small model performance. Using a streaming neural network that processes 8 ms chunks, we evaluate different speech separation and enhancement tasks with communication delays of up to six chunks or 48 ms. Our results show larger gains where the performance gap between the small and large models is wide, demonstrating a promising method for large-small model collaboration for low-latency applications. </p>
Fig. 10 in A morphometric approach to the specific separation of the humeri and femora of Dicraeosaurus from the Late Jurassic of Tendaguru,Tanzania
Fig. 10. Procrustes fits (A, C) and PCA values (B, D) of Dicraeosaurus, Giraffatitan, and Amargasaurus femora. A. Procrustes fits of Dicraeosaurus sattleri (circles), Dicraeosaurus hansemanni (crosses), and Giraffatitan brancai (stars), posterior face. B. PCA values of same taxa, larger symbols denoting mean values for each group; 1, MB.R.2695; 2, MB.R.2696; 3, MB.R.4886.92; 4, MB.R.4886.93; 5, MB.R.2638; 6, MB.R.2697; 7, MB.R.2633. C. Procrustes fits of D. sattleri (circles), D. hansemanni (crosses), and Aicraeosaurus cazaui (stars), posterior face. D. PCA values of same taxa, larger symbols denoting mean values for each group; 1, MB.R.2695; 2, MB.R.2696; 3, MB.R.4886.92; 4, MB.R.4886.93; 5, MB.R.2638; 6, MB.R.2697; 7, MACN-N 15.
Fig. 5 in A morphometric approach to the specific separation of the humeri and femora of Dicraeosaurus from the Late Jurassic of Tendaguru,Tanzania
Fig. 5. Thin-plate Splines of humeri of dicraeosaurid dinosaurs Dicraeosaurus and Amargasaurus. A. Reference shape of humeri of Dicraeosaurus sattleri. B. Same reference shape adjusted onto the landmark positions of MB.R.2631 (Dicraeosaurus sattleri). C. Same reference shape adjusted onto the landmark positions of MB.R.4912 (Dicraeosaurus hansemanni). D. Reference shape of humerus of Amargasaurus cazaui, MACN N-15. Only landmarks are displaced, whereas outlines are left for better overview of shape; printouts from tpsSplin (Rohlf 2004a). E, F. Right humerus MB.R.4912 of D. hansemanni, photograph in comparison with shape-changes when fitted onto reference shape of D. sattleri. Photographs (E 1, F 1) and shape of anterior (E 2) and posterior (F ) faces modified by tpsSuper. Not to scale.
Fig. 1 in A morphometric approach to the specific separation of the humeri and femora of Dicraeosaurus from the Late Jurassic of Tendaguru,Tanzania
Fig. 1. Localities and stratigraphy of the excavation area in Tendaguru, Tanzania. A. Originally published field map with dinosaur yielding localities excavated between 1909 and 1912, slightly modified from Janensch (1929). Localities of Dicraeosaurus hansemanni from the Middle Dinosaur member (m, dd) and localities of Dicraeosaurus sattleri from the Upper Dinosaur member (ab, M, O) are marked by an asterisk. B. Recently published stratigraphy of Tendaguru, showing position of Middle and Upper Dinosaur members in the stratigraphic column, from Bussert et al. 2009.
Norte Pronvice. Cabinda: "Chinchoxo" [-5.10000, 12.10000] (Peters 1877a:615; Bocage 1895a:81); "Cabinda" [-5.55000, 12.18333] (Frade 1963:252). Lunda Norte: "Dundo" [-7.36667, 20.83333] (Laurent 1954:43; Thys van den Audenaerde 1966:32). Taxonomic and distributional notes: Kelly et al. (2011) provided molecular phylogenetic data to support the inclusion of this taxon along with the B. fuliginosus complex within a monophyletic Boaedon, separate from Lamprophis sensu stricto. MAP 289. Distribution of Boaedon olivaceus in Angola. in Diversity and Distribution of the Amphibians and Terrestrial Reptiles of Angola Atlas of Historical and Bibliographic Records (1840-2017)
Norte Pronvice. Cabinda: "Chinchoxo" [-5.10000, 12.10000] (Peters 1877a:615; Bocage 1895a:81); "Cabinda" [-5.55000, 12.18333] (Frade 1963:252). Lunda Norte: "Dundo" [-7.36667, 20.83333] (Laurent 1954:43; Thys van den Audenaerde 1966:32). Taxonomic and distributional notes: Kelly et al. (2011) provided molecular phylogenetic data to support the inclusion of this taxon along with the B. fuliginosus complex within a monophyletic Boaedon, separate from Lamprophis sensu stricto. MAP 289. Distribution of Boaedon olivaceus in Angola.
Entanglement between two spatially separated atomic modes [Dataset]
<p>Entanglement between two spatially separated atomic modes [Dataset]</p>
PLATE 1. Male Tolmerus calceatus male. A in Tolmerus calceatus (Meigen) confirmed as a valid species separate from Tolmerus atricapillus (Fallén) (Diptera: Asilidae)
PLATE 1. Male Tolmerus calceatus male. A: Lateral view. B. Head in lateral view. C: Gonostylus.
PLATE 2. Male Tolmerus atricapillus male. A in Tolmerus calceatus (Meigen) confirmed as a valid species separate from Tolmerus atricapillus (Fallén) (Diptera: Asilidae)
PLATE 2. Male Tolmerus atricapillus male. A: Lateral view. B. Head in lateral view. C: Gonostylus.
Figure 2 from: Seifert B (2019) The Rubens morph of Formica exsecta Nylander, 1846 and its separation from Formica fennica Seifert, 2000 (Hymenoptera, Formicidae). Deutsche Entomologische Zeitschrift 66(1): 55-61. https://doi.org/10.3897/dez.66.34868
Figure 2 Three exploratory and a hypothesis-driven data analysis using nest centroids (NC) as input data. Evaluated were 21 nest samples of Formicaexsecta containing only Rubens morph workers (grey bars right) and 14 nest samples of F.fennica (textured grey bars left). The classifications of NC-Ward and NC-part.kmeans coincide completey whereas NC-part.hclust is also in general agreement but exposes two outlier samples (black bar).
Figure 1 from: Seifert B (2019) The Rubens morph of Formica exsecta Nylander, 1846 and its separation from Formica fennica Seifert, 2000 (Hymenoptera, Formicidae). Deutsche Entomologische Zeitschrift 66(1): 55-61. https://doi.org/10.3897/dez.66.34868
Figure 1 Discriminant value D(7) and 1st factor of a principal component analysis. Data of 288 workers of the Normal morph (white dots) and 143 workers of the Rubens morph (black dots) of Formicaexsecta.
SMS-WSJ: A database for in-depth analysis of multi-channel source separation algorithms
<p>More Information can be found on our github page: <a href="https://github.com/fgnt/sms_wsj">https://github.com/fgnt/sms_wsj</a></p>
Figure 2 in Abrupt boundaries between mountain meadows and forests separate ground-dwelling invertebrate communities: a case study from South Tyrol, Italy
Figure 2. Unconstrained Detrended Canonical Analyses (DCA) of log-transformed abundances of ground-dwelling macroinvertebrates from montane meadows and mixed forests in South Tyrol, Italy. Data for the highest available taxonomic resolution was used (i.e. Araneae and Formicidae at species level, all other on family level, where possible). Each data point represents a pitfall trap along a linear transect starting from extensively managed hay meadows ('MM' and 'M', squares) across an abrupt ecotone ('E', diamonds) towards mixed forest stands ('F' and 'FF', circles). The size of the data points represents the number of taxa from min. 15 to max. 41.
Figure 1 in Abrupt boundaries between mountain meadows and forests separate ground-dwelling invertebrate communities: a case study from South Tyrol, Italy
Figure 1. Overview map of the study area of Barbian/Barbiano, South Tyrol (Italy), showing the three extensively managed meadows and the linear transects towards the forests. (A) Overview of the three meadows that are embedded in montane mixed forests. (B) Detailed view of a site showing the sampling design ('MM' – meadow, 'E' – ecotone, 'FF' – forest). (C) Photo of the plot EH3 (Photo credit: Michael Steinwandter). (D) Position of the study site of Barbian/Barbiano within the European Alps (red border). Aerial photographs by Google Earth.
Fig. 6 in Separation of Goniocotes Burmeister, 1838, and Dictyocotes Kéler, 1940 (Phthiraptera: Ischnocera), with descriptions of four new species
Fig. 6. Goniocotes cacumentalis sp. nov. Male habitus, dorsal and ventral views. Abbreviations: smns = submarginal mesometanotal seta; tps = tergal posterior seta.
A comprehensive model for separating systematic bias and noise in metabolomic timecourse data -- A nonlinear B-spline mixed effect approach
<p>Code for the analysis and validation of the systematic error correction model presented.</p>
Audio-visual sound source localization and separation
<p>CVPR 2021 tutorial</p>
Figure 2 in Spinturnicid mites of bats in Albania - host spectrum and morphometrics as a tool of species separation
Figure 2. Scatter plot of PC1 and PC2 in females; symbol explanations as in Figure 1.
Data from: Separation of realized ecological niche axes among sympatric tilefishes provides insight into potential drivers of co‐occurrence in the NW Atlantic
<p class="Default">Golden and Blueline Tilefish (<i>Lopholatilus chamaeleonticeps</i> and <i>Caulolatilus microps</i>) are keystone taxa in northwest (NW) Atlantic continental shelf‐edge environments due to their biotic (trophic‐mediated) and abiotic (ecosystem engineering) functional roles combined with high‐value fisheries. Despite this importance, the ecological niche dynamics (i.e., those relating to trophic behavior and food‐web interactions) of these sympatric species are poorly understood, knowledge of which may be consequential for maintaining both ecosystem function and fishery sustainability. We used stable isotope ratios of carbon (δ<sup>13</sup>C) and nitrogen (δ<sup>15</sup>N) to build realized ecological niche hypervolumes to serve as proxies for diet and production use patterns of <i>L</i>. <i>chamaeleonticeps</i> and <i>C. microps</i>. We hypothesized that: (a) species exhibit ontogenetic shifts in diet and use of production sources; (b) species acquire energy from spatially distinct resource pools that reflect a sedentary life‐history and differential use of the continental shelf‐edge; and (c) species exhibit differentiation in one or more measured niche axes. We found evidence for ontogenetic shifts in diet (δ<sup>15</sup>N) but not production source (δ<sup>13</sup>C) in both species, suggesting a subtle expansion of measured ecological niche axes. Spatial interpolation of stable isotope ratios showed distinct latitudinal gradients; for example, individuals were <sup>13</sup>C enriched in northern and <sup>15</sup>N enriched in southern regions, supporting the assertion that tilefish species acquire energy from regional resource pools. High isotopic overlap was observed among species (≥82%); however, when hypervolumes included depth and region of capture, overlap among species substantially decreased to overlap estimates of 15%–77%. This suggests that spatial segregation could alleviate potential competition for resources among tilefish species inhabiting continental shelf‐edge environments. Importantly, our results question the consensus interpretation of isotopic overlap estimates as representative of direct competition among species for shared resources or habitats, instead of identifying habitat segregation as a possible mechanism for the coexistence of tilefish species in the NW Atlantic.</p>
Fig. 21 in Phylogenetic Studies On Didelphid Marsupials Ii. Nonmolecular Data And New Irbp Sequences: Separate And Combined Analyses Of Didelphine Relationships With Denser Taxon Sampling
Fig. 21. Strict consensus of 34 equally mostparsimonious trees obtained by a heuristic analysis of the combined data (nonmolecular characters plus IRBP2) described in this report. Bremer support and bootstrap values are provided above and below each branch, respectively. Outgroup taxa are indicated with asterisks. Parsimonyequivalent resolutions of the basal ingroup polytomy are illustrated in figure 19D, E, and F. Parsimonyequivalent resolutions of the ''other Marmosa'' + Micoureus polytomy are shown in figure 22.
Data and code for "Separation of spectrally overlapping fluorophores using intra-exposure excitation modulation"
<p>Representative data and source code for the manuscript "Separation of spectrally overlapping fluorophores using intra-exposure excitation modulation"</p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.