Unsupervised learning can be used to extract image representations that are useful for various and diverse vision tasks. After noticing that most biological vision systems for int...
Face detection and recognition research has attracted great attention in recent years. Automatic face detection has great potential in a large array of application areas, includin...
Vida Kianzad, Sankalita Saha, Jason Schlessman, Ga...
Curating information from the literature for storage in databases is a crucial task in biological research, and many groups assign a particular person or team to that process. We ...
An unsupervised discriminative training procedure is proposed for estimating a language model (LM) for machine translation (MT). An English-to-English synchronous context-free gra...
Zhifei Li, Ziyuan Wang, Sanjeev Khudanpur, Jason E...
High throughput glycoproteomics, similar to genomics and proteomics, involves extremely large volumes of distributed, heterogeneous data as a basis for identification and quantifi...
Satya Sanket Sahoo, Christopher Thomas, Amit P. Sh...