ACL RD-TEC 1.0 Summarization of W06-3310
Paper Title:
EXPLORING TEXT AND IMAGE FEATURES TO CLASSIFY IMAGES IN BIOSCIENCE LITERATURE
EXPLORING TEXT AND IMAGE FEATURES TO CLASSIFY IMAGES IN BIOSCIENCE LITERATURE
Authors: Barry Rafkind and Minsuk Lee and Shih-Fu Chang and Hong Yu
Primarily assigned technology terms:
- categorization
- classification
- classification system
- classifier
- classifiers
- cross validation
- cross-validation
- decomposition
- feature extraction
- fusion classification
- hybridization
- image categorization
- image classification
- kernel
- learning
- learning algorithms
- learning approaches
- learning methods
- machine learning
- machine learning approaches
- machine learning methods
- machine-learning
- parameter setting
- partitioning
- polynomial kernel
- processing
- radial basis function
- search
- supervised machine-learning
- support vector machines
- svm classifier
- text categorization
- text classifier
- thresholding
- validation
Other assigned terms:
- 10-fold cross-validation
- classification accuracy
- classification performance
- coherence
- concept
- confusion matrix
- data set
- data sets
- entropy
- error rate
- evaluation metrics
- experimental results
- f-measure
- f-score
- fact
- feature
- feature space
- generation
- grid
- histogram
- kernel function
- matlab
- norm
- parameter settings
- parameter space
- precision
- probability
- process
- projection
- quadratic kernel
- software documentation
- stem
- stress
- support vector
- svms
- symbols
- taxonomy
- technique
- testing data
- testing set
- text
- theory
- training
- training data
- understanding
- vocabulary
- word
- word vector
- words
