The collaborative filtering approach to recommender systems predicts user preferences for products or services by learning past useritem relationships. In this work, we propose no...
Abstract. We propose a new approach to the correspondence problem that makes use of non-parametric local transforms as the basis for correlation. Non-parametric local transforms re...
Abstract - A mobile ad hoc network (MANET) is a multihop wireless network capable of autonomous operations. Since MANET causes frequent network partitions, a data replication is co...
Aekyung Moon, Han Namgoong, Hyoungsun Kim, Hyun Ki...
We investigate when sparse coding of sensory inputs can improve performance in a classification task. For this purpose, we use a standard data set, the MNIST database of handwritte...
Unsupervised learning methods often involve summarizing the data using a small number of parameters. In certain domains, only a small subset of the available data is relevant for ...