The K-Nearest Neighbor search (kNN) problem has been investigated extensively in the past due to its broad range of applications. In this paper we study this problem in the contex...
Combining word alignments trained in two translation directions has mostly relied on heuristics that are not directly motivated by intended applications. We propose a novel method...
This paper focuses on the computation time of evolutionary algorithms. First, some exact expressions of the mean first hitting times of general evolutionary algorithms in finite...
This paper proposes a partial prediction approach for fast mode decision in H.264/AVC 4x4 intra-prediction, exploiting the inherent symmetry existing in the spatial prediction mod...
A complexity-constrained inter-mode decision algorithm for H.264/AVC video coding is developed using a rate-distortioncomplexity (RDC) optimization framework in this work. The pro...