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5,336
A volumetric method for building complex models from range images,”
- in Proceedings of the 23rd annual conference on Computer graphics and interactive techniques. ACM,
, 1996
"... Abstract A number of techniques have been developed for reconstructing surfaces by integrating groups of aligned range images. A desirable set of properties for such algorithms includes: incremental updating, representation of directional uncertainty, the ability to fill gaps in the reconstruction, ..."
Abstract
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Cited by 1020 (17 self)
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Abstract A number of techniques have been developed for reconstructing surfaces by integrating groups of aligned range images. A desirable set of properties for such algorithms includes: incremental updating, representation of directional uncertainty, the ability to fill gaps in the reconstruction
VERY HIGH RESOLUTION INTERPOLATED CLIMATE SURFACES FOR GLOBAL LAND AREAS
, 2005
"... We developed interpolated climate surfaces for global land areas (excluding Antarctica) at a spatial resolution of 30 arc s (often referred to as 1-km spatial resolution). The climate elements considered were monthly precipitation and mean, minimum, and maximum temperature. Input data were gathered ..."
Abstract
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Cited by 553 (8 self)
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from a variety of sources and, where possible, were restricted to records from the 1950–2000 period. We used the thin-plate smoothing spline algorithm implemented in the ANUSPLIN package for interpolation, using latitude, longitude, and elevation as independent variables. We quantified uncertainty
S.: Connectivity graphs of uncertainty regions
- In: Proceedings of the International Symposium on Algorithms and Computation (ISAAC), Lecture Notes in Computer Science
, 2010
"... Abstract. We study a generalization of the well known bottleneck span-ning tree problem called Best Case Connectivity with Uncertainty: Given a family of geometric regions, choose one point per region, such that the length of the longest edge in a spanning tree of a disc intersection graph is minimi ..."
Abstract
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Cited by 2 (0 self)
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Abstract. We study a generalization of the well known bottleneck span-ning tree problem called Best Case Connectivity with Uncertainty: Given a family of geometric regions, choose one point per region, such that the length of the longest edge in a spanning tree of a disc intersection graph
Support Vector Machines for Uncertainty Region Detection
- THE 12-TH ITALIAN WORKSHOP ON NEURAL NETS
, 2001
"... A new technique for the detection of the uncertainty region in classification problems is presented. The core of the method is the determination of the best supporting hyperplane for convex hulls of sets of points in a multidimensional input space. To this aim a modified version of the algorithm ..."
Abstract
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Cited by 2 (1 self)
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A new technique for the detection of the uncertainty region in classification problems is presented. The core of the method is the determination of the best supporting hyperplane for convex hulls of sets of points in a multidimensional input space. To this aim a modified version of the algorithm
Detecting Uncertainty Regions for Characterizing Classification Problems
- the 12-th Italian Workshop on Neural Nets
, 2001
"... A mathematical framework for the analysis of critical zones of the input space in a classification problem is introduced. It is based on the definition of uncertainty region, which is the collection of the input patterns whose classification is not certain. Through this definition a characterizat ..."
Abstract
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Cited by 1 (1 self)
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A mathematical framework for the analysis of critical zones of the input space in a classification problem is introduced. It is based on the definition of uncertainty region, which is the collection of the input patterns whose classification is not certain. Through this definition a
Uncertainty estimates in regional and global observed temperature changes: A new dataset from 1850
- J. Geophys
, 2006
"... The historical surface temperature dataset HadCRUT provides a record of surface temperature trends and variability since 1850. A new version of this dataset, HadCRUT3, has been produced; benefiting from recent improvements to the sea-surface temperature dataset which forms its marine component, and ..."
Abstract
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Cited by 382 (12 self)
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, and from improvements to the station records which provide the land data. A comprehensive set of uncertainty estimates has been derived to accompany the data: estimates of measurement and sampling error, temperature bias effects, and the effect of limited observational coverage on large-scale averages have
Hierarchical Modelling and Analysis for Spatial Data. Chapman and Hall/CRC,
, 2004
"... Abstract Often, there are two streams in statistical research -one developed by practitioners and other by main stream statisticians. Development of geostatistics is a very good example where pioneering work under realistic assumptions came from mining engineers whereas it is only now that statisti ..."
Abstract
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Cited by 442 (45 self)
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be estimated by ML. Furthermore, ML provides an uncertainty of the estimated parameters what may be used to decide if point estimates are sufficiently accurate or if interval estimation (giving a region of suitable parameters) is more adequate. We discuss various practical and theoretical problems with MLE
Real-time simultaneous localisation and mapping with a single camera
, 2003
"... Ego-motion estimation for an agile single camera moving through general, unknown scenes becomes a much more challenging problem when real-time performance is required rather than under the off-line processing conditions under which most successful structure from motion work has been achieved. This t ..."
Abstract
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Cited by 439 (21 self)
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and an informationguided active measurement strategy, in particular addressing the difficult issue of real-time feature initialisation via a factored sampling approach. Real-time handling of uncertainty permits robust localisation via the creating and active measurement of a sparse map of landmarks such that regions can
UNCERTAINTY REGION SIMULATION FOR A SERIAL ROBOT STRUCTURE
"... Abstract: As the undesired vibrations in mechatronic and robotic systems lead to the alteration of their behavior and finally of their performances, it is recommended that in the beginning of the design phase, vibrations prediction and removal should be considered as an important requirement. The kn ..."
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. The knowledge of the influence of vibrations over the designed system provides the basis for eliminating their undesired effects as much as possible. This paper presents a simulation of the uncertainty based vibrations effect model applied to a serial robot. 1.
Identification of probabilistic system uncertainty regions by explicit evaluation of bias and variance errors
- IEEE TRANS. AUTOMATIC CONTROL
, 1997
"... A procedure is developed for identification of probabilistic system uncertainty regions for a linear time-invariant system with unknown dynamics, on the basis of time sequences of input and output data. The classical framework is handled in which the system output is contaminated by a realization o ..."
Abstract
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Cited by 13 (0 self)
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A procedure is developed for identification of probabilistic system uncertainty regions for a linear time-invariant system with unknown dynamics, on the basis of time sequences of input and output data. The classical framework is handled in which the system output is contaminated by a realization
Results 1 - 10
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5,336
