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Intrinsic dimension
In signal processing of multidimensional signals, for example in computer vision, the intrinsic dimension of the signal describes how many variables…
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Related topics
Related topics
6 relations
Broader (1)
Computer vision
Fractal dimension
Hausdorff dimension
Image processing
Ordination (statistics)
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2018
Highly Cited
2018
Measuring the Intrinsic Dimension of Objective Landscapes
Chunyuan Li
,
Heerad Farkhoor
,
Rosanne Liu
,
J. Yosinski
International Conference on Learning…
2018
Corpus ID: 13739955
Many recently trained neural networks employ large numbers of parameters to achieve good performance. One may intuitively use the…
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Highly Cited
2018
Highly Cited
2018
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
S. Bakas
,
M. Reyes
,
+48 authors
et al.
arXiv.org
2018
Corpus ID: 53225711
Gliomas are the most common primary brain malignancies, with different degrees of aggressiveness, variable prognosis and various…
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Review
2017
Review
2017
Self-Determination Theory: Basic Psychological Needs in Motivation, Development, and Wellness
Richard M. Ryan
,
E. Deci
2017
Corpus ID: 260685567
I. Introduction 1. Self-Determination Theory: An Introduction and Overview II. Philosophical and Historical Considerations 2…
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Highly Cited
2016
Highly Cited
2016
ConceptNet 5.5: An Open Multilingual Graph of General Knowledge
R. Speer
,
Joshua Chin
,
Catherine Havasi
AAAI Conference on Artificial Intelligence
2016
Corpus ID: 15206880
Machine learning about language can be improved by supplying it with specific knowledge and sources of external information…
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Highly Cited
2005
Highly Cited
2005
Intrinsic plasticity or brittleness of metallic glasses
J. Lewandowski
,
Weihua Wang
,
A. L. Greer
2005
Corpus ID: 135802692
The intrinsic plasticity or brittleness of crystalline metals correlates with the ratio of the elastic shear modulus μ to the…
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Highly Cited
2004
Highly Cited
2004
Maximum Likelihood Estimation of Intrinsic Dimension
E. Levina
,
P. Bickel
Neural Information Processing Systems
2004
Corpus ID: 14865278
We propose a new method for estimating intrinsic dimension of a dataset derived by applying the principle of maximum likelihood…
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Highly Cited
2002
Highly Cited
2002
Intrinsic Dimension Estimation Using Packing Numbers
B. Kégl
Neural Information Processing Systems
2002
Corpus ID: 6008434
We propose a new algorithm to estimate the intrinsic dimension of data sets. The method is based on geometric properties of the…
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Highly Cited
2002
Highly Cited
2002
Intrinsic Parameterizations of Surface Meshes
M. Desbrun
,
Mark Meyer
,
P. Alliez
Computer graphics forum (Print)
2002
Corpus ID: 10209667
Parameterization of discrete surfaces is a fundamental and widely‐used operation in graphics, required, for instance, for texture…
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Review
1996
Review
1996
Beyond Accuracy: What Data Quality Means to Data Consumers
Richard Y. Wang
,
D. Strong
Journal of Management Information Systems
1996
Corpus ID: 205581875
Poor data quality (DQ) can have substantial social and economic impacts. Although firms are improving data quality with practical…
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Highly Cited
1988
Highly Cited
1988
Complete discrete 2-D Gabor transforms by neural networks for image analysis and compression
J. Daugman
IEEE Transactions on Acoustics Speech and Signal…
1988
Corpus ID: 1984348
A three-layered neural network is described for transforming two-dimensional discrete signals into generalized nonorthogonal 2-D…
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