Results 61 to 70 of about 4,799,990 (289)

DeNet: Scalable Real-time Object Detection with Directed Sparse Sampling

, 2017
We define the object detection from imagery problem as estimating a very large but extremely sparse bounding box dependent probability distribution. Subsequently we identify a sparse distribution estimation scheme, Directed Sparse Sampling, and employ it
Petersson, Lars, Tychsen-Smith, Lachlan
core   +1 more source

Adherence to Protocol Recommendations for Children With Wilms Tumour in Two Consecutive Studies in the United Kingdom and Ireland—Does Variation Matter?

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background and Aims Wilms tumour (WT) has excellent event‐free and overall survival (OS). However, small differences exist between countries participating in the same international study. This led us to examine variation in adherence to protocol recommendations as a potential contributing factor.
Suzanne Tugnait, R. Al‐Saadi, A. Lopez‐Cortes, K. Dzhuma, M. Oostveen, J. Brok, S. Irtan, M. Weeks, J. Bate, S. Baker, R. Williams, M. Powis, D. Saunders, O. Olsen, T. Watson, S. Shelmerdine, S. Vaidya, L. Howell, C. Duncan, G. M. Vujanic, C. Stiller, G. P. Balchin, T. Chowdhury, K. Pritchard‐Jones   +23 more
wiley   +1 more source

Modelling Irregularly Spaced Time Series Under Preferential Sampling

Revstat Statistical Journal, 2020
Irregularly spaced time series are commonly encountered in the analysis of time series. A particular case is that in which the collection procedure over time depends also on the observed values. In such situations, there is stochastic dependence between
Andreia Monteiro , Raquel Menezes, Maria Eduarda Silva   +2 more
doaj   +1 more source

Uniform random sampling of planar graphs in linear time [PDF]

, 2007
This article introduces new algorithms for the uniform random generation of labelled planar graphs. Its principles rely on Boltzmann samplers, as recently developed by Duchon, Flajolet, Louchard, and Schaeffer.
Fusy, Eric
core   +6 more sources

An inversion method based on random sampling for real-time MEG neuroimaging [PDF]

, 2019
The MagnetoEncephaloGraphy (MEG) is a non-invasive neuroimaging technique with a high temporal resolution which can be successfully used in real-time applications, such as brain-computer interface training or neurofeedback rehabilitation.
Pascarella, Annalisa, Pitolli, Francesca
core   +1 more source

Evaluating the Utility of Paired Tumor and Germline Targeted DNA Sequencing for Pediatric Oncology Patients: A Single Institution Report

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Objective To evaluate the diagnostic yield and utility of universal paired tumor–normal multigene panel sequencing in newly diagnosed pediatric solid and central nervous system (CNS) tumor patients and to compare the detection of germline pathogenic/likely pathogenic variants (PV/LPVs) against established clinical referral criteria for cancer ...
Natalie Waligorski, Rebecca Ronsley, Shannon M. Stasi, Jeffrey Stevens, Erin R. Rudzinski, Christina M. Lockwood, Sarah E. S. Leary, Bonnie L. Cole, Michelle A. Ting, Vera Paulson   +9 more
wiley   +1 more source

Persistence of a Continuous Stochastic Process with Discrete-Time Sampling: Non-Markov Processes [PDF]

, 2001
We consider the problem of `discrete-time persistence', which deals with the zero-crossings of a continuous stochastic process, X(T), measured at discrete times, T = n(\Delta T). For a Gaussian Stationary Process the persistence (no crossing) probability
A. Dhar, A.D. Rutenberg, A.J. Bray, A.J. Bray, Alan J. Bray, B. Derrida, B. Derrida, B. Derrida, B. Derrida, B. Yurke, B.P. Lee, C. Monthus, C. Sire, D.S. Fisher, D.S. Fisher, E. Ben-Naim, G. De Smedt, G.C.M.A. Ehrhardt, G.P. Wong, George C. M. A. Ehrhardt, H. Kallabis, I.F. Blake, J. Cardy, J. Krug, K. Oerding, M. Howard, M. Kac, M. Marcos-Martin, M.R. Swift, P. Le Doussal, P.L. Krapivsky, P.L. Krapivsky, R. Zeitak, S. Cueille, S. Cueille, S.J. Cornell, S.J. O’Donoghue, S.N. Majumdar, S.N. Majumdar, S.N. Majumdar, S.N. Majumdar, S.N. Majumdar, S.N. Majumdar, S.N. Majumdar, Satya N. Majumdar, T.W. Burkhardt, W.Y. Tam, Y.G. Sinai, Z. Toroczkai   +48 more
core   +1 more source

Preferences of Pediatric Patients and Their Caregivers for Chemotherapy‐Induced Nausea and Vomiting Control Endpoints: A Mixed Methods Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose Although not always achieved, complete chemotherapy‐induced nausea and vomiting (CINV) control is the conventional goal of CINV prophylaxis. In this two‐center, mixed‐methods study, we sought to understand the preferences of adolescent patients and family caregivers for CINV control endpoints.
Haley Newman, Tadi Hondonga, Alison Berry, Caitlin Elgarten, Jason Freedman, Katelyn Oranges, Sara McDonough, Caroline Diorio, L. Lee Dupuis   +8 more
wiley   +1 more source

Sampling and Reconstruction of Spatial Fields using Mobile Sensors [PDF]

, 2012
Spatial sampling is traditionally studied in a static setting where static sensors scattered around space take measurements of the spatial field at their locations.
Unnikrishnan, Jayakrishnan, Vetterli, Martin   +1 more
core   +2 more sources

Time for a rethink: time sub‐sampling methods in disparity‐through‐time analyses

Palaeontology, 2018
AbstractDisparity‐through‐time analyses can be used to determine how morphological diversity changes in response to mass extinctions, or to investigate the drivers of morphological change. These analyses are routinely applied to palaeobiological datasets, yet, although there is much discussion about how to best calculate disparity, there has been ...
Thomas Guillerme, Natalie Cooper
openaire   +5 more sources