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5
datasets available to search
ShareScore release 0.9.0
Dataset results
5 results for “Low-Rank”
Training CNNs with Low-Rank Filters for Efficient Image Classification: Trained Models
<p>Models from experiments referenced in the paper "Training CNNs with Low-Rank Filters for Efficient Image Classification", https://arxiv.org/abs/1511.06744</p> <p>Model names differ from those in the paper, but the csv files for each set of experiments relates the paper's name for the model and the real name of the model here:</p> <ul> <li>cifarma.csv: Network-in-Network CIFAR10 Models</li> <li>mitma.csv: MIT Places Models</li> <li>googlenetma.csv: GoogLeNet ILSVRC2012 Models</li> <li>vggma.csv: VGG-11 ILSVRC2012 Models</li> </ul> <p> </p> <p> </p>
Superpixel and low-rank double-sparse regression hyperspectral unmixing
<p>These are data and code for the paper "Superpixel and low-rank double-sparse regression hyperspectral unmixing"</p>
Improving robustness of 3D multi-shot EPI by structured low-rank reconstruction of segmented CAIPI sampling for fMRI at 7T
<p>This dataset includes the k-space data of two 2D sagittal slices from the conventional and seg-CAIPI(8,3) 3D multi-shot EPI datasets, as well as the coil sensitivity maps. The conventional sampling corresponds to seg-CAIPI(2,1). These two 3D multi-shot EPI datasets were acquired at 1.8mm isotropic resolution and acceleration factor R=2x2. Other protocol parameters are: matrix size=116x116x96, 40 volumes, TE/TR=23/55ms. </p>
Adaptive Rational Interpolation and Higher-order SVD for Low-rank Tensor Approximation in Structural Dynamics Simulations
<h1>Vibroacoustic Data Compression and Interpolation</h1> <p>This is the code that accompanies the paper</p> <blockquote> <p>Adaptive Rational Interpolation and Higher-order SVD for Low-rank Tensor Approximation in Structural Dynamics Simulations</p> </blockquote> <p>which we (Jan Heiland, Victor Gosea, Ulrich Römer, Davide Pradovera, Harikrishnan Sreekumar, Sabine Langer) submitted for presentation at the ECC-2025.</p> <p>See the <code>README.md</code> for information and instruction to reproduce the results of the paper.</p>
3D-EPI Blip-Up/Down Acquisition (BUDA) with CAIPI and Joint Hankel Structured Low-Rank Reconstruction for Rapid Distortion-Free High-Resolution T2* Mapping
<p>3D-BUDA data acquired from a 3T Siemens scanner and a 7T Siemens scanner</p>
ScienceDex guides
Understand access before you commit
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.