Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Treelogy: A Novel Tree Classifier Utilizing Deep and Hand-crafted
  Representations   We propose a novel tree classification system called Treelogy, that fuses
deep representations with hand-crafted features obtained from leaf images to
perform leaf-based plant classification. Key to this system are segmentation of
the leaf from an untextured background, using convolutional neural networks
(CNNs) for learning deep representations, extracting hand-crafted features with
a number of image processing techniques, training a linear SVM with feature
vectors, merging SVM and CNN results, and identifying the species from a
dataset of 57 trees. Our classification results show that fusion of deep
representations with hand-crafted features leads to the highest accuracy. The
proposed algorithm is embedded in a smart-phone application, which is publicly
available. Furthermore, our novel dataset comprised of 5408 leaf images is also
made public for use of other researchers.

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The categories of this paper are: hep-ph
35
The categories of this paper are: mtrl-th
5
The categories of this paper are: gr-qc
2
The categories of this paper are: math
18
The categories of this paper are: econ
6
The categories of this paper are: astro-ph
20
The categories of this paper are: acc-phys
28
The categories of this paper are: alg-geom
29
The categories of this paper are: funct-an
21
The categories of this paper are: adap-org
19
The categories of this paper are: eess
32
The categories of this paper are: atom-ph
26
The categories of this paper are: bayes-an
4
The categories of this paper are: cond-mat
37
The categories of this paper are: supr-con
3
The categories of this paper are: physics