UTD-CRSS system for the NIST 2015 language recognition i-vector machine learning challenge.
Chengzhu YuChunlei ZhangShivesh RanjanQian ZhangAbhinav MisraFinnian KellyJohn H. L. HansenPublished in: ICASSP (2016)
Keyphrases
- machine learning
- pattern recognition
- recognition rate
- natural language
- automatic recognition
- recognition accuracy
- language learning
- knowledge acquisition
- natural language processing
- computational linguistics
- machine learning algorithms
- object recognition
- language processing
- visual recognition
- activity recognition
- data mining
- programming language
- recognition algorithm
- feature extraction
- feature vectors
- inductive logic programming
- national institute of standards and technology
- learning algorithm
- machine learning approaches
- inductive learning
- artificial intelligence
- computer vision
- active learning
- action recognition
- learning systems
- hidden markov models
- information extraction
- decision trees
- model selection
- data analysis
- recognition process
- reinforcement learning
- document analysis
- specification language
- word recognition
- text mining