Nonnegative matrix factorization (NMF) has been shown to be an efficient clustering tool. However, NMF`s batch nature necessitates recomputation of whole basis set for new samples...
In this paper, a novel subspace learning method, semi-supervised marginal discriminant analysis (SMDA), is proposed for classification. SMDA aims at maintaining the intrinsic neig...
— This paper discusses the importance of iteration when performing the measurement update step for the problem of bearing-only SLAM. We focus on an undelayed approach that initia...
Stephen Tully, Hyungpil Moon, George Kantor, Howie...
—We study the problem of data-driven routing and navigation in a distributed sensor network over a continuous scalar field. Specifically, we address the problem of searching fo...
Rik Sarkar, Xianjin Zhu, Jie Gao, Leonidas J. Guib...
— Hilbert transformers are one of the very important special classes of finite impulse response (FIR) filters used in signal processing applications. A method is presented to s...