Modeling spatial context (e.g., autocorrelation) is a key challenge in classification problems that arise in geospatial domains. Markov random fields (MRF) is a popular model for i...
Shashi Shekhar, Paul R. Schrater, Ranga Raju Vatsa...
In this paper, we present a new approach to the problem of simultaneously localizing a group of mobile robots capable of sensing one another. Each of the robots collects sensor dat...
Image matching has been a central problem in computer vision and image processing for decades. Most of the previous approaches to image matching can be categorized into the intens...
Chyuan-Huei Thomas Yang, Shang-Hong Lai, Long-Wen ...
—We show that electrical impedance tomography (EIT) image reconstruction algorithms with regularization based on the Total Variation (TV) functional are suitable for in vivo imag...
Andrea Borsic, Brad M. Graham, Andy Adler, William...
In this paper, we propose a novel approach to automatic generation of summary templates from given collections of summary articles. This kind of summary templates can be useful in...