Satellite-derived bathymetry methods over coastal areas were developed to deliver basic and useful bathymetry information. However, the process is not straightforward, the main limitation being the need for field data. The Self-calibrated Spectral Supervised Shallow-water Modeler (4SM) method was tested to obtain coastal bathymetry without the use of any field data. Using Landsat-8 multispectra...

Bathymetry has been traditionally charted via shipboard echo sounding. Alhough able to generate accurate depth measurements at points or along transects, this method is constrained by its high operating cost, ineffi ciency, and inapplicability to shallow waters. By comparison, remote sensing methods offer more fl exible, effi cient and cost-effective means of mapping bathymetry over broad areas...

In this paper, we describe our approach taken in the MSM2013 IE Challenge, which was aimed at concept extraction from microposts. The goal of the approach was to combine several existing NER tools which use different classification methods and benefit from their combination. Several NER tools have been chosen and individually evaluated on the challenge training set. We observed that some of the...

This deliverable defines the evaluation strategies for the Information Extraction tools that are under development within the Dot.Kom project.

PROTO-INDO-EUROPEAN is the traditional name given to the ancestor language of the Indo-European family that is spread from Iceland to Chinese Turkestan and from Scandinavia to the Near East. A PROTO-LANGUAGE (Gk. prõtos ‘first’) refers to the earliest form of a language family presupposed by all of its descendants. There will forever be major gaps in the reconstruction of proto-languages, but a...

remotely sensed imagery is proving to be a useful tool to estimate water depths in coastalzones. bathymetric algorithms attempt to isolate water attenuation and hence depth from other factors byusing different combinations of spectral bands. in this research, images of absolute bathymetry using twodifferent but related methods in a region in the southern caspian sea coasts has been produced. th...

In this paper we introduce an extension of the Probably Approximately Correct (PAC) learning model to study the problem of learning inclusion hierarchies of concepts (sometimes called is-a hierarchies) from random examples. Using only the hypothesis representations output over many different runs of a learning algorithm, we wish to reconstruct the partial order (with respect to generality) amon...

ACKNOWLEDGEMENTS The present work is funded by the United States Geological Survey Hurricane Sandy, Fire Island Physical Processes Study under project number 2006V38. I want to thank my advisor, Dr. Kevin Haas, for giving me the chance to join his research team, supporting me with my work, teaching me patiently, giving me advice in every aspect and for repeatedly reviewing my thesis. The past y...