In this paper we consider gossip-based Peer-to-Peer streaming applications where multiple sources exist and they work serially. More specifically, we tackle the problem of fast s...
The major challenge in mining data streams is the issue of concept drift, the tendency of the underlying data generation process to change over time. In this paper, we propose a g...
In many modern applications such as biometric identification systems, sensor networks, medical imaging, geology, and multimedia databases, the data objects are not described exact...
- Bioinformatics applications such as gene and protein sequence matching algorithms are characterized by the need to process large amounts of data. While uni-processor performance ...
Ravi Kiran Karanam, Arun Ravindran, Arindam Mukher...
While determining model complexity is an important problem in machine learning, many feature learning algorithms rely on cross-validation to choose an optimal number of features, ...