Abstract—Compressive sampling (CS) has emerged as significant signal processing framework to acquire and reconstruct sparse signals at rates significantly below the Nyquist rate...
Probabilistic feature relevance learning (PFRL) is an effective technique for adaptively computing local feature relevance for content-based image retrieval. It however becomes le...
In contention-based sensor networks, nodes compete to access a shared channel for data transmission and collision is a common challenge. For power conservation, periodical active/s...
Distributed publish/subscribe systems are naturally suited for processing events in distributed systems. However, support for expressing patterns about disparate events and algorit...
Video fingerprints are feature vectors that uniquely characterize one video clip from another. The goal of video fingerprinting is to identify a given video query in a database (DB...