This paper presents a new technique which incrementally builds a hierarchical discriminant regression (IHDR) tree for generation of motion based robot reactions. The robot learned...
Abstract. This paper proposes a new learning method for process neural networks (PNNs) based on the Gaussian mixture functions and particle swarm optimization (PSO), called PSO-LM....
We propose an efficient algorithm to find the exact nearest neighbor based on the Euclidean distance for largescale computer vision problems. We embed data points nonlinearly on...
straction of Complex Network Compositions∗ Azer Bestavros, Adam D. Bradley, Assaf J. Kfoury, and Ibrahim Matta Department of Computer Science Boston University The heterogeneity...
Azer Bestavros, Adam Bradley, Assaf J. Kfoury, Ibr...
A novel feature extraction method, namely monogenic binary pattern (MBP), is proposed in this paper based on the theory of monogenic signal analysis, and the histogram of MBP (HMB...