Results 1  10
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970
Data cube: A relational aggregation operator generalizing groupby, crosstab, and subtotals
, 1996
"... Abstract. Data analysis applications typically aggregate data across many dimensions looking for anomalies or unusual patterns. The SQL aggregate functions and the GROUP BY operator produce zerodimensional or onedimensional aggregates. Applications need the Ndimensional generalization of these op ..."
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Cited by 860 (11 self)
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Abstract. Data analysis applications typically aggregate data across many dimensions looking for anomalies or unusual patterns. The SQL aggregate functions and the GROUP BY operator produce zerodimensional or onedimensional aggregates. Applications need the Ndimensional generalization
Region Filling and Object Removal by ExemplarBased Image Inpainting
, 2004
"... A new algorithm is proposed for removing large objects from digital images. The challenge is to fill in the hole that is left behind in a visually plausible way. In the past, this problem has been addressed by two classes of algorithms: 1) “texture synthesis” algorithms for generating large image re ..."
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Cited by 365 (1 self)
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regions from sample textures and 2) “inpainting ” techniques for filling in small image gaps. The former has been demonstrated for “textures”—repeating twodimensional patterns with some stochasticity; the latter focus on linear “structures ” which can be thought of as onedimensional patterns
Object removal by exemplarbased inpainting
, 2003
"... A new algorithm is proposed for removing large objects from digital images. The challenge is to fill in the hole that is left behind in a visually plausible way. In the past, this problem has been addressed by two classes of algorithms: (i) “texture synthesis ” algorithms for generating large image ..."
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Cited by 188 (3 self)
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regions from sample textures, and (ii) “inpainting ” techniques for filling in small image gaps. The former work well for “textures ” – repeating twodimensional patterns with some stochasticity; the latter focus on linear “structures ” which can be thought of as onedimensional patterns, such as lines
PAC Learning of OneDimensional Patterns
 Machine Learning
, 1996
"... . Developing the ability to recognize a landmark from a visual image of a robot's current location is a fundamental problem in robotics. We consider the problem of PAClearning the concept class of geometric patterns where the target geometric pattern is a configuration of k points on the real ..."
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Cited by 8 (4 self)
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under the Hausdorff metric, if every point on one pattern is "close" to some point on the other pattern. We relate the concept class of geometric patterns to the landmark recognition problem and then present a polynomialtime algorithm that PAClearns the class of onedimensional geometric
Camera Calibration with OneDimensional Objects
, 2004
"... Camera calibration has been studied extensively in computer vision and photogrammetry and the proposed techniques in the literature include those using 3D apparatus (two or three planes orthogonal to each other or a plane undergoing a pure translation, etc.), 2D objects (planar patterns undergoing ..."
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Cited by 69 (1 self)
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Camera calibration has been studied extensively in computer vision and photogrammetry and the proposed techniques in the literature include those using 3D apparatus (two or three planes orthogonal to each other or a plane undergoing a pure translation, etc.), 2D objects (planar patterns undergoing
Pattern formation in the onedimensional GrayScott model
 Nonlinearity
, 1997
"... Abstract. In this work, we analyse a pair of onedimensional coupled reactiondiffusion equations known as the GrayScott model, in which selfreplicating patterns have been observed. We focus on stationary and travelling patterns, and begin by deriving the asymptotic scaling of the parameters and ..."
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Cited by 9 (0 self)
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Abstract. In this work, we analyse a pair of onedimensional coupled reactiondiffusion equations known as the GrayScott model, in which selfreplicating patterns have been observed. We focus on stationary and travelling patterns, and begin by deriving the asymptotic scaling of the parameters
Asymmetric Spike Patterns for the OneDimensional GiererMeinhardt Model: Equilibria and Stability
 Europ. J. Appl. Math
, 2000
"... Equilibrium solutions to the onedimensional GiererMeinhardt model in the form of sequences of spikes of dierent heights are constructed asymptotically in the limit of small activator diusivity ". For a pattern with k spikes, the construction yields k 1 spikes that have a common small amplitud ..."
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Cited by 31 (24 self)
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Equilibrium solutions to the onedimensional GiererMeinhardt model in the form of sequences of spikes of dierent heights are constructed asymptotically in the limit of small activator diusivity ". For a pattern with k spikes, the construction yields k 1 spikes that have a common small
The onedimensional holographic display
, 2006
"... This paper introduces a new concept of onedimensional hologram which represents one line image, and a new kind of display structure using it. This onedimensional hologram is similar to a superpositioned diffraction lattice. And the interference patterns can be efficiently computed with a simple op ..."
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This paper introduces a new concept of onedimensional hologram which represents one line image, and a new kind of display structure using it. This onedimensional hologram is similar to a superpositioned diffraction lattice. And the interference patterns can be efficiently computed with a simple
OneDimensional Beam Shaping
 J. Opt. Soc. Am. A
, 1995
"... INTRODUCTION Computergenerated holograms have been employed to construct desired transverse and longitudinal twodimensional images. In particular, we have recently solved the problem of shaping the axial intensity distribution of a circularly symmetric beam. For certain applications, e.g. ..."
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Cited by 3 (3 self)
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.g., photolithography and timedomain pulse shaping, the transverse image obeys onedimensional diffraction laws, which cannot be treated as a special case of twodimensional diffraction. In another paper we presented an analytical solution to the pseudonondiffracting (PND) onedimensional beam. Here we
Even OneDimensional Mobility Increases Ad Hoc Wireless Capacity
 In Proc. of IEEE ISIT
, 2002
"... this paper that the throughput result in [2] still holds even when nodes have much more limited mobility patterns. Specifically, we consider a model in which each node i is constrained to move on a singledimensional great circle G i on the unit sphere. Each node moves randomly along its own circle. ..."
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Cited by 65 (1 self)
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this paper that the throughput result in [2] still holds even when nodes have much more limited mobility patterns. Specifically, we consider a model in which each node i is constrained to move on a singledimensional great circle G i on the unit sphere. Each node moves randomly along its own circle
Results 1  10
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970