Results 1 - 10 of 2,497

E.-J.: Generating color palettes using intuitive parameters

by Martijn Wijffelaars, Roel Vliegen, Jarke J. Van Wijk, Erik-jan Van Der Linden, Magnaview Bv, The Netherl - Eurographics/ IEEE-VGTC Symposium on Visualization (2010
"... Color is widely used in data visualization to show data values. The proper selection of colors is critical to convey information correctly. In this paper, we present a technique for generating univariate lightness ordered palettes. These are specified via intuitive input parameters that are used def ..."
Abstract - Cited by 18 (5 self) - Add to MetaCart
Color is widely used in data visualization to show data values. The proper selection of colors is critical to convey information correctly. In this paper, we present a technique for generating univariate lightness ordered palettes. These are specified via intuitive input parameters that are used

A gentle tutorial on the EM algorithm and its application to parameter estimation for gaussian mixture and hidden markov models

by Jeff A. Bilmes , 1997
"... We describe the maximum-likelihood parameter estimation problem and how the Expectation-form of the EM algorithm as it is often given in the literature. We then develop the EM parameter estimation procedure for two applications: 1) finding the parameters of a mixture of Gaussian densities, and 2) fi ..."
Abstract - Cited by 693 (4 self) - Add to MetaCart
) finding the parameters of a hidden Markov model (HMM) (i.e., the Baum-Welch algorithm) for both discrete and Gaussian mixture observation models. We derive the update equations in fairly explicit detail but we do not prove any convergence properties. We try to emphasize intuition rather than mathematical

Graphs over Time: Densification Laws, Shrinking Diameters and Possible Explanations

by Jure Leskovec, Jon Kleinberg, Christos Faloutsos , 2005
"... How do real graphs evolve over time? What are “normal” growth patterns in social, technological, and information networks? Many studies have discovered patterns in static graphs, identifying properties in a single snapshot of a large network, or in a very small number of snapshots; these include hea ..."
Abstract - Cited by 541 (48 self) - Add to MetaCart
, and we observe some surprising phenomena. First, most of these graphs densify over time, with the number of edges growing superlinearly in the number of nodes. Second, the average distance between nodes often shrinks over time, in contrast to the conventional wisdom that such distance parameters should

Parameterisation of a Stochastic Model for Human Face Identification

by F. S. Samaria, F. S. Samaria *t, A.C. Harter, Old Addenbrooke's Site , 1994
"... Recent work on face identification using continuous density Hidden Markov Models (HMMs) has shown that stochastic modelling can be used successfully to encode feature information. When frontal images of faces are sampled using top-bottom scanning, there is a natural order in which the features appe ..."
Abstract - Cited by 398 (0 self) - Add to MetaCart
appear and this can be conveniently modelled using a top-bottom HMM. However, a top-bottom HMM is characterised by different parameters, the choice of which has so far been based on subjective intuition. This paper presents a set of experimental results in which various HMM parameterisations are analysed.

Specifying gestures by example

by Dean Rubine - In Proceedings of the ACM SIGGRAPH, Computer Graphics , 1991
"... Gesture-based interfaces offer an alternative to traditional keyboard, menu, and direct manipulation interfaces. The ability to specify objects, an operation, and additional pa-rameters with a single intuitive gesture appeals to both novice and experienced users. Unfortunate y, gesture-based interfa ..."
Abstract - Cited by 350 (1 self) - Add to MetaCart
Gesture-based interfaces offer an alternative to traditional keyboard, menu, and direct manipulation interfaces. The ability to specify objects, an operation, and additional pa-rameters with a single intuitive gesture appeals to both novice and experienced users. Unfortunate y, gesture

An analysis of temporal-difference learning with function approximation

by John N. Tsitsiklis, Benjamin Van Roy - IEEE Transactions on Automatic Control , 1997
"... We discuss the temporal-difference learning algorithm, as applied to approximating the cost-to-go function of an infinite-horizon discounted Markov chain. The algorithm weanalyze updates parameters of a linear function approximator on-line, duringasingle endless trajectory of an irreducible aperiodi ..."
Abstract - Cited by 313 (8 self) - Add to MetaCart
We discuss the temporal-difference learning algorithm, as applied to approximating the cost-to-go function of an infinite-horizon discounted Markov chain. The algorithm weanalyze updates parameters of a linear function approximator on-line, duringasingle endless trajectory of an irreducible

Graph evolution: Densification and shrinking diameters

by Jure Leskovec, Jon Kleinberg, Christos Faloutsos - ACM TKDD , 2007
"... How do real graphs evolve over time? What are “normal” growth patterns in social, technological, and information networks? Many studies have discovered patterns in static graphs, identifying properties in a single snapshot of a large network, or in a very small number of snapshots; these include hea ..."
Abstract - Cited by 267 (16 self) - Add to MetaCart
, and we observe some surprising phenomena. First, most of these graphs densify over time, with the number of edges growing super-linearly in the number of nodes. Second, the average distance between nodes often shrinks over time, in contrast to the conventional wisdom that such distance parameters should

Tracking and Recognizing Rigid and Non-Rigid Facial Motions using Local Parametric Models of Image Motion

by Michael J. Black, Yaser Yacoob - In ICCV , 1995
"... This paper explores the use of local parametrizedmodels of image motion for recovering and recognizing the non-rigid and articulated motion of human faces. Parametric flow models (for example affine) are popular for estimating motion in rigid scenes. We observe that within local regions in space and ..."
Abstract - Cited by 255 (8 self) - Add to MetaCart
and time, such models not only accurately model non-rigid facial motions but also provide a concise description of the motion in terms of a small number of parameters. These parameters are intuitively related to the motion of facial features during facial expressions and we show how expressions

PriMo: Coupled Prisms for Intuitive Surface Modeling

by Mario Botsch, Mark Pauly, Markus Gross, Leif Kobbelt , 2006
"... We present a new method for 3D shape modeling that achieves intuitive and robust deformations by emulating physically plausible surface behavior inspired by thin shells and plates. The surface mesh is embedded in a layer of volumetric prisms, which are coupled through non-linear, elastic forces. To ..."
Abstract - Cited by 65 (9 self) - Add to MetaCart
and global shape matching techniques. Our modeling framework allows for the specification of various geometrically intuitive parameters that provide control over the physical surface behavior. While computationally more involved than previous methods, our approach significantly improves robustness

Painterly Rendering with Curved Brush Strokes of Multiple Sizes

by Aaron Hertzmann , 1998
"... We present a new method for creating an image with a handpainted appearance from a photograph, and a new approach to designing styles of illustration. We "paint" an image with a series of spline brush strokes. Brush strokes are chosen to match colors in a source image. A painting is built ..."
Abstract - Cited by 238 (9 self) - Add to MetaCart
for describing a wide range of visual styles. A style is described as an intuitive set of parameters to the pain...
Results 1 - 10 of 2,497