A MapReduce-based distributed SVM ensemble for scalable image classification and annotation.
Nasullah Khalid AlhamMaozhen LiYang LiuMan QiPublished in: Comput. Math. Appl. (2013)
Keyphrases
- image classification
- data intensive
- svm classifier
- classifier training
- support vector machine svm
- map reduce
- mapreduce framework
- support vector machine
- feature selection
- scalable distributed
- distributed computing
- support vector
- distributed processing
- feature extraction
- lightweight
- svm classification
- distributed systems
- image representation
- imbalanced data
- multi class
- bag of words
- ensemble classifier
- neural network
- ensemble learning
- visual features
- cloud computing
- training data
- training set
- image features
- knn
- metadata
- multi agent
- decision forest
- feature vectors
- random forest
- semantic annotation
- distributed environment
- high scalability
- base classifiers
- peer to peer
- learning algorithm
- kernel function
- commodity hardware
- multi class classification
- support vectors
- grid computing
- multi label
- data management
- object recognition
- machine learning