Results 241 to 250 of about 6,958,036 (288)
Some of the next articles are maybe not open access.
Journal of Statistical Planning and Inference, 2011
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
AGOSTINELLI, Claudio, ROMANAZZI, Mario
openaire +3 more sources
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
AGOSTINELLI, Claudio, ROMANAZZI, Mario
openaire +3 more sources
Corruption depth: Analysis of DNN depth for misclassification
Neural Networks, 2023Many large and complex deep neural networks have been shown to provide higher performance on various computer vision tasks. However, very little is known about the relationship between the complexity of the input data along with the type of noise and the depth needed for correct classification.
Akshay Agarwal +3 more
openaire +2 more sources
Depth upsampling by depth prediction
2017 IEEE International Conference on Image Processing (ICIP), 2017We propose a method for depth upsampling with the aid of high-resolution color image. The key novelty of our method is to exploit a spatio-temporal coherency between the color and depth image sequences. It allows us to perform a depth prediction using the responses from motion estimation in the color image sequence. The predicted depth image is able to
Atsuhiko Tsuchiya +2 more
openaire +1 more source
Depth estimation and depth enhancement by diffusion of depth features
2013 IEEE International Conference on Image Processing, 2013Current trends in video technology indicate a significant increase in spatial and temporal resolution of video data. Recently, a linear-runtime feature diffusion algorithm was presented which aims for fast and accurate processing of such high resolution data.
Nikolce Stefanoski +4 more
openaire +1 more source
Nature, 1965
This paper will be based on a Friday Evening Discourse which I presented to the Royal Institution in London, in January 1973. It is an attempt to relate how we see the world in three dimensions with how science infers the richness of physical reality from readings from instruments.
openaire +2 more sources
This paper will be based on a Friday Evening Discourse which I presented to the Royal Institution in London, in January 1973. It is an attempt to relate how we see the world in three dimensions with how science infers the richness of physical reality from readings from instruments.
openaire +2 more sources
Imaged Depth Versus True Depth
Proceedings, 2015Summary The use of the term ‘velocity’ to describe both the true propagation velocity and the modelling “velocity” used in processing (what is here termed ‘pro-velocity’) has given rise to a damaging level of confusion whereby a great majority of geoscientists take the depth image to be a good representation of depth in the subsurface. The relationship
openaire +1 more source
Similarities Between Location Depth and Regression Depth
2001ℝ In this paper we first explore the analogies between location depth and regression depth. The location depth of [Tukey (1975)] is a multivariate generalization of rank, and leads to a multivariate median known as the Tukey median or the deepest location.
Hubert, Mia +2 more
openaire +2 more sources
2010
Scenario based inspection methods are currently widely used for evaluating the usability of web-based information systems (e-systems). However, it is neither easy nor cheap to find usability experts who possess the competencies for performing a usability inspection while at the same time have deep knowledge of the context for which each e-system has ...
Petros Georgiakakis, Symeon Retalis
openaire +1 more source
Scenario based inspection methods are currently widely used for evaluating the usability of web-based information systems (e-systems). However, it is neither easy nor cheap to find usability experts who possess the competencies for performing a usability inspection while at the same time have deep knowledge of the context for which each e-system has ...
Petros Georgiakakis, Symeon Retalis
openaire +1 more source
Journal of the American Statistical Association, 1999
Rousseeuw, Peter, Hubert, Mia
openaire +3 more sources
Rousseeuw, Peter, Hubert, Mia
openaire +3 more sources

