Privacy-preserving data mining (PPDM) is an emergent research area that addresses the incorporation of privacy preserving concerns to data mining techniques. In this paper we prop...
— In this paper we propose a method for lowering the power consumption in our previously proposed method for approximating elementary functions. By rearranging the interconnect o...
Saeeid Tahmasbi Oskuii, Kenny Johansson, Oscar Gus...
This paper proposes a novel analytical model to predict zero quantized DCT coefficients for fast video encoding. The dynamic range of quantized DCT coefficients are analyzed and...
Abstract. We present a method for estimating unknown geometric entities based on identical, incident, parallel or orthogonal observed entities. These entities can be points and lin...
We describe dynamic data structures for half-space range reporting and for maintaining the minima of a decomposable function. Using these data structures, we obtain efficient dyna...