An unsupervised pipeline using ImageNet features, PCA/Isomap, and k-means is applied to 650 pollen images, but the claimed family-level identification is supported only by qualitative cluster inspection and non-specialist agreement.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2019 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
Unsupervised Representations of Pollen in Bright-Field Microscopy
An unsupervised pipeline using ImageNet features, PCA/Isomap, and k-means is applied to 650 pollen images, but the claimed family-level identification is supported only by qualitative cluster inspection and non-specialist agreement.