Histology is the science of understanding the structure of animals and plants, and studying the functional implications of biological structures. In this paper, we propose a stati...
In this paper we model the components of the compressive sensing (CS) problem using the Bayesian framework by utilizing a hierarchical form of the Laplace prior to model sparsity ...
S. Derin Babacan, Rafael Molina, Aggelos K. Katsag...
Complex and distributed systems are more and more common. Hardware is going from strength to strength and is embedded in high performance peer-to-peer networks mostly. The task of...
Abstract--This paper presents a model for machine aided human translation (MAHT) that integrates source language text and target language acoustic information to produce the text t...
Subspace learning techniques are widespread in pattern recognition research. They include Principal Component Analysis (PCA), Locality Preserving Projection (LPP), etc. These tech...