This paper presents a semi-supervised learning (SSL) approach to find similarities of images using statistics of local matches. SSL algorithms are well known for leveraging a larg...
In this paper, we present a rule-based modelling language for constraint programming, called Rules2CP. Unlike other modelling languages, Rules2CP adopts a single knowledge represen...
In this paper, we derive bounds on the Structural SIMilarity (SSIM) Index as a function of quantization rate for fixed-rate uniform quantization of image discrete cosine transform...
Sumohana S. Channappayya, Alan C. Bovik, Robert W....
In this paper we investigate the main linguistic phenomena that can make texts complex and how they could be simplified. We focus on a corpus analysis of simple account texts avai...
In many practical reinforcement learning problems, the state space is too large to permit an exact representation of the value function, much less the time required to compute it. ...