This paper examines high dimensional regression with noise-contaminated input and output data. Goals of such learning problems include optimal prediction with noiseless query poin...
We present a novel design and implementation of relational join algorithms for new-generation graphics processing units (GPUs). The most recent GPU features include support for wr...
Bingsheng He, Ke Yang, Rui Fang, Mian Lu, Naga K. ...
This paper proposes CADRE (Collaborative Allocation and Deallocation of Replicas with Efficiency), which is a dynamic replication scheme for improving the typically low data avail...
Query optimizers that explore a search space exhaustively using transformation rules usually apply all possible rules on each alternative, and stop when no new information is prod...
Abstract. This paper presents a novel approach to unsupervised texture segmentation that relies on a very general nonparametric statistical model of image neighborhoods. The method...