Nonlocal Estimation of Manifold Structure | Citedby Results | Neural Computation | MIT Press

Skip to Main Content

Skip Nav Destination

Nonlocal Estimation of Manifold Structure

Neural Computation (2006) 18 (10): 2509–2528.

This article has been cited by the following articles in journals that are participating in Crossref Cited-by Linking.

Topology Structure Analysis of High Dimensional Dataset by Flattening Deformation of Data Manifold

Xiaodong Zhuang
Nikos E. Mastorakis

International Journal of Mathematics and Computers in Simulation (2021) 15: 161.

Intrinsic dimension estimation for locally undersampled data

Vittorio Erba
Marco Gherardi
Pietro Rotondo

Scientific Reports (2019) 9 (1)

Generic Feature Learning in Computer Vision

D. Kanishka Nithin
P. Bagavathi Sivakumar

Procedia Computer Science (2015) 58: 202.

Investigation of the generalizing capabilities of convolutional neural networks in forming rotation-invariant attributes

R. O. Malashin
A. B. Kadykov

Journal of Optical Technology (2015) 82 (8): 509.

Full-Space Local Topology Extraction for Cross-Modal Retrieval

Lei Zhang
Yongdong Zhang
Richang Hong
Qi Tian

IEEE Transactions on Image Processing (2015) 24 (7): 2212.

Stringing High-Dimensional Data for Functional Analysis

Kun Chen
Kehui Chen
Hans-Georg Müller
Jane-Ling Wang

Journal of the American Statistical Association (2011) 106 (493): 275.

An empirical study of two typical locality preserving linear discriminant analysis methods

Lishan Qiao
Limei Zhang
Songcan Chen

Neurocomputing (2010) 73 (10-12): 1587.

Graph-optimized locality preserving projections

Limei Zhang
Lishan Qiao
Songcan Chen

Pattern Recognition (2010) 43 (6): 1993.

DECISION TREES DO NOT GENERALIZE TO NEW VARIATIONS

Yoshua Bengio
Olivier Delalleau
Clarence Simard

Computational Intelligence (2010) 26 (4): 449.

Manifold-Based Learning and Synthesis

IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) (2009) 39 (3): 592.

Label Propagation through Linear Neighborhoods

IEEE Transactions on Knowledge and Data Engineering (2008) 20 (1): 55.