Developing effective content recognition methods for diverse imagery continues to challenge computer vision researchers. We present a new approach for document image content catego...
Guangyu Zhu, Xiaodong Yu, Yi Li, David S. Doermann
This work exploits several machine-learning techniques to address the problem of image-quality prediction of synthetic aperture sonar (SAS) imagery. The objective is to predict th...
The paper introduces Self-Replicating Objects (SROs), a new nt programming abstraction. An SRO is implemented and used much like an ordinary .NET object and can expose arbitrary us...
We propose efficient techniques for processing various TopK count queries on data with noisy duplicates. Our method differs from existing work on duplicate elimination in two sign...
Sunita Sarawagi, Vinay S. Deshpande, Sourabh Kasli...
Many binary code encoding schemes based on hashing have been actively studied recently, since they can provide efficient similarity search, especially nearest neighbor search, an...