Summary of the 2015 NIST Language Recognition i-Vector Machine Learning Challenge.
Audrey TongCraig S. GreenbergAlvin F. MartinDésiré BanséJohn M. HowardHui ZhaoGeorge R. DoddingtonDaniel Garcia-RomeroAlan McCreeDouglas A. ReynoldsElliot SingerJaime Hernandez-CorderoLisa P. MasonPublished in: Odyssey (2016)
Keyphrases
- machine learning
- pattern recognition
- recognition rate
- recognition accuracy
- natural language
- language learning
- object recognition
- natural language processing
- recognition algorithm
- learning systems
- learning tasks
- feature selection
- visual recognition
- programming language
- explanation based learning
- machine learning methods
- support vector machine
- computer vision
- text summarization
- unsupervised learning
- automatic recognition
- computational linguistics
- national institute of standards and technology
- action recognition
- machine learning algorithms
- knowledge discovery
- machine translation
- neural network
- supervised learning
- object oriented
- image recognition
- data analysis
- computer science
- decision trees
- gait recognition
- recognition process
- artificial intelligence
- data mining