Upper inset shows the input images. The black lines show feeding trails extracted only from an image of a certain day. The gray lines show feeding trails extracted only from an image of the day before. The striped lines show feeding trails extracted from both the image of a certain day and that of the day before. The lower inset shows the output images. The black lines in the lower inset show extracted daily new feeding trails.</p
<p>(a) Demonstration of data collected from an individual’s home over 39 training days. The data is ...
Appearance based object detection systems utilizing statistical models to cap-ture real world variat...
The data provided here are part of a Galaxy Training Network tutorial for "Machine learning: classif...
Example of the extracted daily new feeding trails; (A) feeding trails extracted from the orthophoto ...
Upper insets show the input images and the lower insets show the output images.</p
Feeding trail extraction for the input images of different ground sampling distances (precision, rec...
In this paper, “daily new feeding trails” were defined as the feeding trails that were made after th...
Flowchart of the proposed method for the extraction of the daily new feeding trails.</p
(A) an example image of typical feeding trails taken during ground-based observations; (B) an exampl...
<p>See main text for details. (A) A custom data set of simple shapes at various positions. (B) The M...
The dataset includes 3D-acceleration samplings measured by RuuviTag tags. The tags were fitted to 48...
<p>A) A photograph of a degu using tool during training. The degu has grabbed the tool and is about ...
<p>Training data set percentage dependent variation of SSIM for the Lena, Sails, and Baboon images.<...
The Training Data Selector (TDS) allows a user to select training data that can then be used to trai...
<p>Only pairs of images used for deriving signatures (training) and for classification (with and wit...
<p>(a) Demonstration of data collected from an individual’s home over 39 training days. The data is ...
Appearance based object detection systems utilizing statistical models to cap-ture real world variat...
The data provided here are part of a Galaxy Training Network tutorial for "Machine learning: classif...
Example of the extracted daily new feeding trails; (A) feeding trails extracted from the orthophoto ...
Upper insets show the input images and the lower insets show the output images.</p
Feeding trail extraction for the input images of different ground sampling distances (precision, rec...
In this paper, “daily new feeding trails” were defined as the feeding trails that were made after th...
Flowchart of the proposed method for the extraction of the daily new feeding trails.</p
(A) an example image of typical feeding trails taken during ground-based observations; (B) an exampl...
<p>See main text for details. (A) A custom data set of simple shapes at various positions. (B) The M...
The dataset includes 3D-acceleration samplings measured by RuuviTag tags. The tags were fitted to 48...
<p>A) A photograph of a degu using tool during training. The degu has grabbed the tool and is about ...
<p>Training data set percentage dependent variation of SSIM for the Lena, Sails, and Baboon images.<...
The Training Data Selector (TDS) allows a user to select training data that can then be used to trai...
<p>Only pairs of images used for deriving signatures (training) and for classification (with and wit...
<p>(a) Demonstration of data collected from an individual’s home over 39 training days. The data is ...
Appearance based object detection systems utilizing statistical models to cap-ture real world variat...
The data provided here are part of a Galaxy Training Network tutorial for "Machine learning: classif...