We study the problem of learning to rank images for image retrieval. For a noisy set of images indexed or tagged by the same keyword, we learn a ranking model from some training e...
Previous studies of Non-Parametric Kernel (NPK) learning usually reduce to solving some Semi-Definite Programming (SDP) problem by a standard SDP solver. However, time complexity ...
Abstract. Internet coordinate systems appear promising as a method for estimating network distance without direct measurement, allowing scalable configuration of emerging applicat...
In this paper, we study the interconnect layout optimization problem under a higher-order RLC model to optimize not just delay, but also waveform for RLC circuits with non-monoton...
We propose a new fault tolerance metric for XOR-based erasure codes: the minimal erasures list (MEL). A minimal erasure is a set of erasures that leads to irrecoverable data loss ...