Offshore channel clearance is an essential underwater task to protect vessels and divers effectively, but current target classification relies heavily on operator identification. Machine learning provides highly accurate methods for image as well detection. In this paper, a new hybrid quantum-classical algorithm proposed. It uses quantum devices reduce dimension denoise data sets, greatly reduc...

sar (synthetic aperture radar) image enhancement and segmentation is purpose of this thesis. sar image segmentation is a primary step before steps such as classification and target recognition. the main obstacle in sar image segmentation is inherent speckle noise. speckle noise is a multiplicative and highly destructive noise which results to intensity inhomogeneity. hence common segmentation m...

Abstract Acoustic target classification in multi-frequency echosounder data is a major interest for the marine ecosystem and fishery management since it can potentially estimate abundance or biomass of species. A key problem current methods heavy dependence on manual categorization samples. As solution, we propose novel semi-supervised deep learning method leveraging few annotated samples toget...

We consider target classification and detection based on backscattered observations measured from a sequence of targetsensor orientations. The multi-aspect scattered waves from a given target are modeled with a hidden Markov model (HMM). The targets are assumed concealed and the absolute target-sensor orientation is assumed unknown; therefore, it is only possible to control the angular displace...

In this paper we develop a method for classifying an unknown data vector as belonging to one of several classes. This method is based on the statistical methods of maximum likehood and borrowed strength estimation. We develop an MPEC procedure (for Mathematical Program with Equilibrium Constraints) for the classification of a multi-dimensional observation, using a finite set of observed trainin...

In order to be successful CASP experiments require experimentally determined protein structures. These structures form the basis of the experiment. Structural genomics groups have provided the vast majority of these structures in recent editions of CASP. Before the structure prediction assessment can begin these target structures must be divided into structural domains for assessment purposes a...