Ara
Toplam kayıt 43, listelenen: 11-20
Multiple Model Kalman And Particle Filters And Applications: A Survey
(2019)
Kalman Filters (KF) is a recursive estimation algorithm, a special case of Bayesian estimators under Gaussian, linear and quadratic conditions. For non-linear systems, Extended Kalman Filter (EKF) and Unscented Kalman ...
A Goal-Driven Evaluation Method Based on Process Mining for Healthcare Processes
(Mdpi, 2018)
As a business processes management technique, process mining (PM) has been applied in many domains in the last decade. In healthcare, where most processes are complex, variable, dynamic, and multi-disciplinary in nature, ...
Assessment of Fractal Dimension and Geometrical Characteristics of the Landslides Identified in North of Tehran, Iran
(Springer, 2014)
The aim of the presented study is to assess the fractal dimension (D) and the geometrical characteristics (length and width) of the landslides identified in North of Tehran, Iran. At first, the landslide locations (528 ...
Automatic Description Generation from Images: A Survey of Models, Datasets, and Evaluation Measures
(Ai Access Foundation, 2016)
Automatic description generation from natural images is a challenging problem that has recently received a large amount of interest from the computer vision and natural language processing communities. In this survey, we ...
Volumetric Object Recognition Using 3-D Cnns On Depth Data
(Ieee-Inst Electrical Electronics Engineers Inc, 2018)
Recognizing 3-D objects has a wide range of application areas from autonomous robots to self-driving vehicles. The popularity of low-cost RGB-D sensors has enabled a rapid progress in 3-D object recognition in the recent ...
Visual Saliency Estimation By Nonlinearly Integrating Features Using Region Covariances
(Assoc Research Vision Ophthalmology Inc, 2013)
To detect visually salient elements of complex natural scenes, computational bottom-up saliency models commonly examine several feature channels such as color and orientation in parallel. They compute a separate feature ...
Two-Person Interaction Recognition Via Spatial Multiple Instance Embedding
(Academic Press Inc Elsevier Science, 2015)
In this work, we look into the problem of recognizing two-person interactions in videos. Our method integrates multiple visual features in a weakly supervised manner by utilizing an embedding-based multiple instance learning ...
Tree Structured Dirichlet Processes For Hierarchical Morphological Segmentation
(Mit Press, 2018)
This article presents a probabilistic hierarchical clustering model for morphological segmentation. In contrast to existing approaches to morphology learning, our method allows learning hierarchical organization of word ...
Anti-Ramsey Number of Matchings in Hypergraphs
(Elsevier Science Bv, 2013)
A k-matching in a hypergraph is a set of k edges such that no two of these edges intersect. The anti-Ramsey number of a k-matching in a complete s-uniform hypergraph H on n vertices, denoted by ar(n, s, k), is the smallest ...
Use Of Acoustic Prior Information For Confidence Measure In Asr (Automatic Speech Recognition) Applications
(Acoustical Soc Amer Amer Inst Physics, 2005)
In this paper, a new acoustic confidence measure of automatic speech recognition hypothesis is proposed and it is compared to approaches proposed in the literature. This approach takes into account prior information on the ...