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MNIST Dataset Classification Utilizing k-NN Classifier with Modified
  Sliding-window Metric
v1v2v3v4 (latest)

MNIST Dataset Classification Utilizing k-NN Classifier with Modified Sliding-window Metric

18 September 2018
Divas Grover
Behrad Toghi
ArXiv (abs)PDFHTML

Papers citing "MNIST Dataset Classification Utilizing k-NN Classifier with Modified Sliding-window Metric"

5 / 5 papers shown
An Improved Nearest Neighbour Classifier
An Improved Nearest Neighbour ClassifierPattern Analysis and Applications (PAA), 2022
Eric Setterqvist
N. Kruglyak
R. Forchheimer
123
1
0
27 Apr 2022
Diverse, Global and Amortised Counterfactual Explanations for
  Uncertainty Estimates
Diverse, Global and Amortised Counterfactual Explanations for Uncertainty EstimatesAAAI Conference on Artificial Intelligence (AAAI), 2021
Dan Ley
Umang Bhatt
Adrian Weller
UQCV
591
25
0
05 Dec 2021
δ-CLUE: Diverse Sets of Explanations for Uncertainty Estimates
δ-CLUE: Diverse Sets of Explanations for Uncertainty Estimates
Dan Ley
Umang Bhatt
Adrian Weller
UQCV
395
7
0
13 Apr 2021
Optimal Transfer Learning Model for Binary Classification of Funduscopic
  Images through Simple Heuristics
Optimal Transfer Learning Model for Binary Classification of Funduscopic Images through Simple Heuristics
Rohit Jammula
Vishnu Rajan Tejus
S. Shankar
MedIm
228
5
0
11 Feb 2020
Faster CryptoNets: Leveraging Sparsity for Real-World Encrypted
  Inference
Faster CryptoNets: Leveraging Sparsity for Real-World Encrypted Inference
Edward Chou
Josh Beal
Daniel Levy
Serena Yeung
Albert Haque
Li Fei-Fei
285
227
0
25 Nov 2018
1
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