Associative memories offer high levels of parallelism in matching a query against stored entries. We design and analyze an architecture which uses a single lookup into a Ternary C...
Abstract. In this paper we develop an algorithm for structured prediction that optimizes against complex performance measures, those which are a function of false positive and fals...
In this paper, we propose a new asymmetric boosting method, Boosting with Different Costs. Traditional boosting methods assume the same cost for misclassified instances from di...
Hardware signatures have been recently proposed as an efficient mechanism to detect conflicts amongst concurrently running transactions in transactional memory systems (e.g., Bulk...
In this work we develop an approach for anomaly detection for large scale networks such as that of an enterprize or an ISP. The traffic patterns we focus on for analysis are that...