We propose two methods to passively measure and monitor changes in round-trip times (RTTs) throughout the lifetime of a TCP connection. Our first method associates data segments w...
Supervised clustering is the problem of training a clustering algorithm to produce desirable clusterings: given sets of items and complete clusterings over these sets, we learn ho...
The effectiveness of adaptive user interfaces highly depends on the how accurately adaptation satisfies the needs of users. This paper presents an empirical study that examined tw...
This paper describes the design of a smart sensor for label-free detection of DNA hybridization. The sensor is based on a direct electrical transduction principle: it measures imp...
In this paper, an HMM-embedded unsupervised learning approach is proposed to detect the music events by grouping the similar segments of the music signal. This approach can cluste...