Discriminative methods have shown significant improvements over traditional generative methods in many machine learning applications, but there has been difficulty in extending th...
— We investigate modeling and recognition of object manipulation actions for the purpose of imitation based learning in robotics. To model the process, we are using a combination...
An empirical study has been conducted investigating the relationship between the performance of a generative language model in terms of perplexity and the corresponding informatio...
Leif Azzopardi, Mark Girolami, Keith van Rijsberge...
Multiprocessors are now dominant, but real multiprocessors do not provide the sequentially consistent memory that is assumed by most work on semantics and verification. Instead, t...
Susmit Sarkar, Peter Sewell, Francesco Zappa Narde...
Enhancing productivity for designing complex embedded systems requires system level design methodology and language support for capturing complex design in high level models. For ...
Hiren D. Patel, Sandeep K. Shukla, Reinaldo A. Ber...