Classifier fusion is considered as one of the best strategies for improving performances upon general purpose classification systems. On the other hand, fusion strategy space stro...
Wael Ben Soltana, Mohsen Ardabilian, Liming Chen, ...
This paper presents a discriminative training (DT) approach to irrelevant variability normalization (IVN) based training of feature transforms and hidden Markov models for large v...
Role-based access control (RBAC) is a popular access control model for enterprise systems due to its economic benefit and scalability. There are many RBAC features available, each ...
Human-quality text summarization systems are di cult to design, and even more di cult to evaluate, in part because documents can di er along several dimensions, such as length, wri...
Jade Goldstein, Mark Kantrowitz, Vibhu O. Mittal, ...
While existing face recognition systems based on local features are robust to issues such as misalignment, they can exhibit accuracy degradation when comparing images of differing...