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Hierarchical Learning of Tree Classifiers for Large-Scale Plant Species Identification
- Source :
- ICSC
- Publication Year :
- 2015
-
Abstract
- In this paper, a hierarchical multi-task structural learning algorithm is developed to support large-scale plant species identification, where a visual tree is constructed for organizing large numbers of plant species in a coarse-to-fine fashion and determining the inter-related learning tasks automatically. For a given parent node on the visual tree, it contains a set of sibling coarse-grained categories of plant species or sibling fine-grained plant species, and a multi-task structural learning algorithm is developed to train their inter-related classifiers jointly for enhancing their discrimination power. The inter-level relationship constraint, e.g., a plant image must first be assigned to a parent node (high-level non-leaf node) correctly if it can further be assigned to the most relevant child node (low-level non-leaf node or leaf node) on the visual tree, is formally defined and leveraged to learn more discriminative tree classifiers over the visual tree. Our experimental results have demonstrated the effectiveness of our hierarchical multi-task structural learning algorithm on training more discriminative tree classifiers for large-scale plant species identification.
- Subjects :
- Computer science
Feature extraction
Machine learning
computer.software_genre
Hierarchical classifier
Correlation
Set (abstract data type)
Discriminative model
Artificial Intelligence
Leverage (statistics)
Incremental decision tree
business.industry
Node (networking)
Plant species identification
Pattern recognition
Plants
Classification
Computer Graphics and Computer-Aided Design
Visualization
Constraint (information theory)
Tree (data structure)
Tree structure
Plant species
Structural learning
ComputingMethodologies_GENERAL
Artificial intelligence
business
computer
Software
Algorithms
Subjects
Details
- ISSN :
- 19410042
- Volume :
- 24
- Issue :
- 11
- Database :
- OpenAIRE
- Journal :
- IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
- Accession number :
- edsair.doi.dedup.....ff14b886d5ca249b5cab2a5a83a0200d