We have developed a method for answering single answer questions automatically using a collection of documents or the Internet as a source of data for the production of the answer...
James R. Cowie, Yevgeny Ludovik, Hugo Molina-Salga...
This paper presents a system which learns from examples to automatically recognize people and estimate their poses in image sequences with the potential application to daily surve...
We suggest improvements to a previously proposed framework for integrating Conditional Random Fields and Hidden Markov Models, dubbed a Crandem system (2009). The previous authors...
Rohit Prabhavalkar, Preethi Jyothi, William Hartma...
Zorro is a system designed to automatically determine whether a developer is complying with an operational definition of Test-Driven Development (TDD) practices. Automated recogn...
We investigate techniques for acoustic modeling in automatic recognition of context-independent phoneme strings from the TIMIT database. The baseline phoneme recognizer is based on...