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Extending lyapack for the solution of band Lyapunov equations on hybrid CPU–GPU platforms
Springer Verlag (2015)The solution of large-scale Lyapunov equations is an important tool for the solution of several engineering problems arising in optimal control and model order reduction. In this work, we investigate the case when the ... -
Extending OpenMP to Survive the Heterogeneous Multi-Core Era
Springer US (2010)This paper advances the state-of-the-art in programming models for exploiting task-level parallelism on heterogeneous many-core systems, presenting a number of extensions to the OpenMP language inspired in the StarSs ... -
Extending the Gauss-Huard method for the solution of Lyapunov matrix equations and matrix inversion
Wiley (2017-05-10)The solution of linear systems is a recurrent operation in scientific and engineering applications, traditionally addressed via the LU factorization. The Gauss-Huard (GH) algorithm has been introduced as an efficient ... -
Extending the technology acceptance model in remote pointing technology: identifying the role of perceived mobility and control
Emerald (2013)Purpose – Despite the increasing popularity and interest in remote pointing devices such as Wii remote controllers, there have been few studies that find and evaluate the users' psychological aspects of technology acceptance. ... -
Extracting invariant characteristics of sketch maps: Towards place query-by-sketch
Wiley (2020-08-01)In geography, invariant aspects of sketches are essential to study because they reflect the human perception of real-world places. A person's perception of a place can be ex-pressed in sketches. In ... -
Facial recognition patterns of children and adults looking at robotic faces
In-Tech (2012)The present study investigates whether adults and children exhibit different eye‐fixation patterns when they look at human faces, machinelike robotic faces, and humanlike robotic faces. The results from two betweensub ... -
Families of Algorithms for Reducing a Matrix to Condensed Form
ACM (2012-11)In a recent paper it was shown how memory traffic can be diminished by reformulating the classic algorithm for reducing a matrix to bidiagonal form, a preprocess when computing the singular values of a dense matrix. The ... -
Fast Algorithms for the Computation of the Minimum Distance of a Random Linear Code
Association for Computing Machinery (ACM) (2019-06)The minimum distance of an error-correcting code is an important concept in information theory. Hence, computing the minimum distance of a code with a minimum computational cost is crucial to many problems in this area. ... -
Fast and Reliable Noise Estimation for Hyperspectral Subspace Identification
Institute of Electrical and Electronics Engineers (IEEE) (2015-02)In this letter, we introduce an efficient algorithm to estimate the noise correlation matrix in the initial stage of the hyperspectral signal identification by minimum error (HySime) method, commonly used for signal subspace ... -
Fast block QR update in digital signal processing
Springer (2019-03)The processing of digital sound signals often requires the computation of the QR factorization of a rectangular system matrix. However, sometimes, only a given (and probably small) part of the system matrix varies from the ... -
Fast k-NN classifier for documents based on a graph structure
Springer Verlag (2010)In this paper, a fast k nearest neighbors (k-NN) classifier for documents is presented. Documents are usually represented in a high-dimensional feature space, where terms appeared on it are treated as features and the ... -
Fast video transcoding from HEVC to VP9
Institute of Electrical and Electronics Engineers (2015-10)HEVC and VP9 are the current state-of-the-art in video compression, since their bit-streams were recently finalized in January and May 2013, respectively. These codecs are the generational successors of the currently most ... -
FaST-LMM for Two-Way Epistasis Tests on High-Performance Clusters
Mary Ann Liebert (2018-08)We introduce a version of the epistasis test in FaST-LMM for clusters of multithreaded processors. This new software maintains the sensitivity of the original FaST-LMM while delivering acceleration that is close to linear ... -
Fatigue Evaluation through Machine Learning and a Global Fatigue Descriptor
Hindawi (2020-01)Research in physiology and sports science has shown that fatigue, a complex psychophysiological phenomenon, has a relevant impact in performance and in the correct functioning of our motricity system, potentially being a ... -
Few-View CT Image reconstruction via Least-Squares Methods: assessment and optimization
Taylor & Francis Group (2023-06-30)The use of iterative algebraic methods applied to the reconstruction of Computed Tomography (CT) Medical Images is proliferating to reconstruct high-quality CT images using far fewer views than through analytical methods. ... -
Finding parallel patterns through static analysis in C++ applications
Sage (2017-03)Since the ‘free lunch’ of processor performance is over, parallelism has become the new trend in hardware and architecture design. However, parallel resources deployed in data centers are underused in many cases, given ... -
Fine-grained bit-flip protection for relaxation methods
Elsevier (2019-09)Resilience is considered a challenging under-addressed issue that the high performance computing community (HPC) will have to face in order to produce reliable Exascale systems by the beginning of the next decade. As part ... -
Fitting primitive shapes in point clouds: a practical approach to improve autonomous underwater grasp specification of unknown objects
Taylor & Francis (2015-04)This article presents research on the subject of autonomous underwater robot manipulation. Ongoing research in underwater robotics intends to increase the autonomy of intervention operations that require physical interaction ... -
For a Green Stadium: Economic Feasibility of Sustainable Renewable Electricity Generation at the Jeju World Cup Venue
MDPI (2016)After the 2002 FIFA World Cup in South Korea and Japan, the local governments of South Korea were left in charge of several large-scale soccer stadiums. Although these governments have made significant efforts toward ... -
Forecasting Adverse Weather Situations in the Road Network
Institute of Electrical and Electronics Engineers (IEEE) (2016-08)Weather is an important factor that affects traffic flow and road safety. Adverse weather situations affect the driving conditions directly; hence, drivers must be informed about the weather conditions downstream to adapt ...