This paper proposes a metric learning based approach for human activity recognition with two main objectives: (1) reject unfamiliar activities and (2) learn with few examples. We s...
Numerous techniques exist which can be used for the task of behavioural analysis and recognition. Common amongst these are Bayesian networks and Hidden Markov Models. Although the...
David Paul Young, James M. Ferryman, Nicholas L. C...
This paper presents a method to automatically quantify the spoken English fluency skills of speakers. The focus of this work is to automatically compute a numeric score of spoken...
Om Deshmukh, Kundan Kandhway, Ashish Verma, Kartik...
— A novel criterion is introduced for assessing the diversity of a collection of paths or trajectories. The main idea is the notion of survivability, which measures the likelihoo...
Automatic performance tuning (auto-tuning) has been used in parallel numerical applications for adapting performance-relevant parameters. We extend auto-tuning to general-purpose ...
Christoph A. Schaefer, Victor Pankratius, Walter F...