Kernel machines are a popular class of machine learning algorithms that achieve state of the art accuracies on many real-life classification problems. Kernel perceptrons are among...
—We show that deadlocks due to dependencies on consumption channels are a fundamental problem in wormhole multicast routing. This type of resource deadlocks has not been addresse...
Rajendra V. Boppana, Suresh Chalasani, C. S. Ragha...
We investigate a new class of geometric problems based on the idea of online error correction. Suppose one is given access to a large geometric dataset though a query mechanism; f...
Abstract. In this paper we deal with the problem of finding an optimal query execution plan in database systems. We improve the analysis of a polynomial-time approximation algorit...
This paper addresses verifying the timing of circuits containing level-sensitive latches in the presence of cross talk. We show that three consecutive periodic occurrences of the ...