Current domain-independent, classical planners require symbolic models of the problem domain and instance as input, resulting in a knowledge acquisition bottleneck. Meanwhile, although recent work in deep learning has achieved impressive results in many fields, the knowledge is encoded in a subsymbolic representation which cannot be directly used by symbolic systems such as planners. We propose...

---------------------------------------------------------------------***--------------------------------------------------------------------Abstract Magnetic Resonance Imaging (MRI) is one of the most effective medical imaging modality that have been used for soft tissue imaging, such as brain and muscles. Over the past several years, although the signal-to-noise ratio, resolution and acquisiti...

introduction: one of the minimally invasive methods of treatmenting liver malignancies is radiofrequency ablation (rfa) which can be applied to primary or secondary tumors. nevertheless, the disease recurrence is probable after rfa application partially due to the inadequate capability of temperature monitoring of the target tissue and visualizing the thermal damage. the goal of this work was t...

Content-based image retrieval (CBIR) addresses the problem of assisting a user to retrieve images from unannotated databases, based on features that can be automatically derived from the images. Today, there exists several CBIR systems based on different methods. Only few attemps to benchmark these have been made, although the usefulness of benchmarking is undeniable in the development of diffe...

Although image quality assessment (IQA) has observed much research and advancement in the past, not much progress has been made towards the development of quality assessment metrics for range images. The current metrics being used to assess the quality of range images are reminiscent to the old IQA metrics such as mean squared error that have since been replaced with metrics which better correl...

Reflectance spectra of hyperspectral images of the natural scenes are supposed to represent the real world better than any certain classes of natural and man-made spectral reflectance. But spectral images contain a large volume of data and place considerable demands on computer hardware and software compared with standard trichromatic images. Although principal component analysis (PCA) based lo...

introduction: one of the major problems in the development of nuclear medicine images is the presence of noise. the noise level in nuclear medicine images is usually reduced by the analysis of imaging data in a fourier transform environment. the main drawback of this environment belongs to low signal to noise ratio in high frequencies because removing noise frequencies may remove data and times...

Gaussian smoothed SAR image spectra have been evaluated from 512 x 512 pixel subscenes of image mode ERS-1 SAR scenes off Goa, Visakhapatnam, Paradeep and Portugal. The two recently acquired scenes off Portugal showed the signature of swell of wavelength 200m and internal waves of wavelength > 400m. Only internal waves of wavelength > 400m were seen in the scene off Goa observed on 11 March 199...

Interest in thermal to visible face recognition has grown significantly over the last decade due advancements infrared cameras and analytics beyond spectrum. Despite large discrepancies between spectra, existing approaches bridge domain gaps by either synthesizing faces from or learning cross-spectrum image representations. These typically work well with frontal facial imagery collected at vary...

There has been a recent and increasing interest in computer analysis and recognition of human motion. Previously we presented an efficient real-time approach for representing human motion using a compact “Motion History Image” (MHI). Recognition was achieved by statistically matching moment-based features. To address previous problems related to global analysis and limited recognition, we prese...