Locally Adaptive Metric Nearest-Neighbor Classification

By Carlotta Domeniconi, Jing Peng, Dimitrios Gunopulos. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2002

356 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/9a72bf55da970f7f39f5cc424aacf6dbb2a6ec95

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In Computer Vision and Pattern Recognition

In Statistics and Probability

Citations in the corpus

Random Forests and Adaptive Nearest Neighbors (2006, methodology): “The two adaptive nearest-neighbor methods included in the simulation are Dann (Hastie and Tibshirani 1996) and Adamenn (Domeniconi et al. 2002).”
MBNR: Case-Based Reasoning with Local Feature Weighting by Neural Network (2004, methodology): “[11] proposed a locally adaptive nearest neighbor classification method.”
Prototype selection for dissimilarity-based classifiers (2006, background): “This issue will be discussed in the subsequent sections.”
Distance Metric Learning: A Comprehensive Survey (2006, background): “…xi and to xj belong to the same class} and the set of inequivalence constraints denoted by D = {(xi,xj | xi and xj belong to different classes} Let the distance metric denoted by matrix A ∈ Rm×m, and the distance between any two data points x and y expressed by d2A(x,y) = ‖x− y‖2A = (x− y)T A(x− y)”
Deep Learning for Content-Based Image Retrieval: A Comprehensive Study (2014, background): “Distance metric learning for image retrieval has been extensively studied in both machine learning and multimedia retrieval communities [12, 2, 48, 29, 15, 47, 33, 46].”
Class Conditional Nearest Neighbor and Large Margin Instance Selection (2008, background): “However, 1-NN requires to memorize the entire training set (that is, it is a memory-based classiﬁer), and its performance can be negatively affected by the presence of many input variables (see for instance, [17], [20], [30]) or noisy instances (see for instance [8], [37]).”
Local Manifold Learning-Based $k$ -Nearest-Neighbor for Hyperspectral Image Classification (2010, background): “However, this assumption is often invalid for many real world data sets [5], [ 6 ].”
Human–Agent Teaming for Multirobot Control: A Review of Human Factors Issues (2014, unknown): “mension reduction more for high-dimensional data [57].”