To better understand the central nervous system, neurobiologists need to reconstruct the underlying neural circuitry from electron microscopy images. One of the necessary tasks is...
Automatic image tagging is important yet challenging due to the semantic gap and the lack of learning examples to model a tag’s visual diversity. Meanwhile, social user tagging ...
This paper addresses source separation from a linear mixture under two assumptions: source sparsity and orthogonality of the mixing matrix. We propose efficient sparse separation...
Music classification based on cultural style is useful for music analysis and has potential applications in retrieval and recommendation systems. In this paper, we present the fir...
Yuxiang Liu, Qiaoliang Xiang, Ye Wang, Lianhong Ca...
We introduce a new paradigm for outsourcing the durability property of a multi-client transactional database to an untrusted service provider. Specifically, we enable untrusted s...