Classification methods are given as 1NN (blue), 3NN (red), LDA (black), QDA (magenta). The vertical axis shows the ratio of correct classifications based on 100000 simulations. Sample sizes from left to right are: 20, 30 and 60.</p
The leftmost column shows the image presented to VGG-19. The second column from the left shows the c...
<p>The 21 stimuli in each condition are plotted on the a*b* plane (please note the scale difference ...
Understanding how a classifier partitions a high-dimensional input space and assigns labels to the p...
<p>Each panel in the figure corresponds to a different phenotypic difference, according to panel cap...
<p>Blue circles are the test samples of the first class; red stars are the test samples of the secon...
<p>(A) Two-dimensional representation of viable (green) and apoptotic (red) cells with corresponding...
<p>Each cell in the figure represents a number of sensors (x-axis) vs. time points (y-axis) combinat...
<p>The observations along X axis are reordered according to their true class labels. For each observ...
ABSTRACT: Marble texture classification is an error prone undertaking when performed by humans. Ther...
<p>The X-axis contains the number of features (1 to 92 SNPs), while the Y-axis shows classification ...
<p>The classifier attempted to predict image exemplar labels from brain responses in a 72-class clas...
<p>(A) An example binary classification map shows that pixels are designated as nuclei (red), cytopl...
<p>All electrodes and time samples of the brain response were used together in the six-class categor...
<p>Each cell in the figure represents a number of sensors (x-axis) vs. time points (y-axis) combinat...
Using combined classifiers alleviates the problem of generating a large feature space, as the featur...
The leftmost column shows the image presented to VGG-19. The second column from the left shows the c...
<p>The 21 stimuli in each condition are plotted on the a*b* plane (please note the scale difference ...
Understanding how a classifier partitions a high-dimensional input space and assigns labels to the p...
<p>Each panel in the figure corresponds to a different phenotypic difference, according to panel cap...
<p>Blue circles are the test samples of the first class; red stars are the test samples of the secon...
<p>(A) Two-dimensional representation of viable (green) and apoptotic (red) cells with corresponding...
<p>Each cell in the figure represents a number of sensors (x-axis) vs. time points (y-axis) combinat...
<p>The observations along X axis are reordered according to their true class labels. For each observ...
ABSTRACT: Marble texture classification is an error prone undertaking when performed by humans. Ther...
<p>The X-axis contains the number of features (1 to 92 SNPs), while the Y-axis shows classification ...
<p>The classifier attempted to predict image exemplar labels from brain responses in a 72-class clas...
<p>(A) An example binary classification map shows that pixels are designated as nuclei (red), cytopl...
<p>All electrodes and time samples of the brain response were used together in the six-class categor...
<p>Each cell in the figure represents a number of sensors (x-axis) vs. time points (y-axis) combinat...
Using combined classifiers alleviates the problem of generating a large feature space, as the featur...
The leftmost column shows the image presented to VGG-19. The second column from the left shows the c...
<p>The 21 stimuli in each condition are plotted on the a*b* plane (please note the scale difference ...
Understanding how a classifier partitions a high-dimensional input space and assigns labels to the p...
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