Results 11 to 20 of about 42,049,725 (376)
Darwinian Data Structure Selection [PDF]
Data structure selection and tuning is laborious but can vastly improve an application's performance and memory footprint. Some data structures share a common interface and enjoy multiple implementations.
Basios M.+9 more
core +4 more sources
Fully dynamic data structure for LCE queries in compressed space [PDF]
A Longest Common Extension (LCE) query on a text $T$ of length $N$ asks for the length of the longest common prefix of suffixes starting at given two positions. We show that the signature encoding $\mathcal{G}$ of size $w = O(\min(z \log N \log^* M, N))$
Bannai, Hideo+4 more
core +3 more sources
Structured data structures [PDF]
Programming systems which permit arbitrary linked list structures enable the user to create complicated structures without sufficient protection. Deletions can result in unreachable data elements, and there is no guarantee that additions will be performed properly.
Ben Shneiderman, Peter Scheuermann
+7 more sources
Data-Driven Sparse Structure Selection for Deep Neural Networks
Deep convolutional neural networks have liberated its extraordinary power on various tasks. However, it is still very challenging to deploy state-of-the-art models into real-world applications due to their high computational complexity. How can we design
A Beck+3 more
core +2 more sources
Initialization is critical for preserving global data structure in both t-SNE and UMAP
1Institute for Ophthalmic Research, University of Tübingen, Tübingen, Germany. 2Applied Mathematics Program, Yale University, New Haven, CT, USA. ✉e-mail: dmitry.kobak@uni-tuebingen.de; george.linderman@yale.edu One of the most ubiquitous analysis tools ...
D. Kobak, G. Linderman
semanticscholar +1 more source
MathOptInterface: A Data Structure for Mathematical Optimization Problems [PDF]
We introduce MathOptInterface, an abstract data structure for representing mathematical optimization problems based on combining pre-defined functions and sets.
B. Legat+3 more
semanticscholar +1 more source
EEG-BIDS, an extension to the brain imaging data structure for electroencephalography. [PDF]
The Brain Imaging Data Structure (BIDS) project is a rapidly evolving effort in the human brain imaging research community to create standards allowing researchers to readily organize and share study data within and between laboratories.
Pernet CR+6 more
europepmc +2 more sources
iEEG-BIDS, extending the Brain Imaging Data Structure specification to human intracranial electrophysiology. [PDF]
The Brain Imaging Data Structure (BIDS) is a community-driven specification for organizing neuroscience data and metadata with the aim to make datasets more transparent, reusable, and reproducible.
Holdgraf C+38 more
europepmc +2 more sources
MEG-BIDS, the brain imaging data structure extended to magnetoencephalography. [PDF]
We present a significant extension of the Brain Imaging Data Structure (BIDS) to support the specific aspects of magnetoencephalography (MEG) data. MEG measures brain activity with millisecond temporal resolution and unique source imaging capabilities ...
Niso G+14 more
europepmc +2 more sources
Terrace Aware Data Structure for Phylogenomic Inference from Supermatrices
In phylogenomics the analysis of concatenated gene alignments, the so-called supermatrix, is commonly accompanied by the assumption of partition models.
O. Chernomor, A. von Haeseler, B. Minh
semanticscholar +1 more source