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» Algorithm Visualization: The State of the Field
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TIP
1998
124views more  TIP 1998»
14 years 9 months ago
Texture synthesis via a noncausal nonparametric multiscale Markov random field
Abstract— Our noncausal, nonparametric, multiscale, Markov random field (MRF) model is capable of synthesising and capturing the characteristics of a wide variety of textures, f...
Rupert Paget, I. Dennis Longstaff
ICML
2001
IEEE
15 years 10 months ago
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
We present conditional random fields, a framework for building probabilistic models to segment and label sequence data. Conditional random fields offer several advantages over hid...
John D. Lafferty, Andrew McCallum, Fernando C. N. ...
VIS
2007
IEEE
239views Visualization» more  VIS 2007»
15 years 10 months ago
Moment Invariants for the Analysis of 2D Flow Fields
We present a novel approach for analyzing two-dimensional (2D) flow field data based on the idea of invariant moments. Moment invariants have traditionally been used in computer vi...
Michael Schlemmer, Manuel Heringer, Florian Morr...
79
Voted
VIS
2006
IEEE
122views Visualization» more  VIS 2006»
15 years 10 months ago
Representing Higher-Order Singularities in Vector Fields on Piecewise Linear Surfaces
Accurately representing higher-order singularities of vector fields defined on piecewise linear surfaces is a non-trivial problem. In this work, we introduce a concise yet complet...
Wan-Chiu Li, Bruno Vallet, Nicolas Ray, Bruno L...
VIS
2004
IEEE
146views Visualization» more  VIS 2004»
15 years 10 months ago
Tracking of Vector Field Singularities in Unstructured 3D Time-Dependent Datasets
In this paper, we present an approach for monitoring the positions of vector field singularities in time-dependent datasets. The concept of singularity index is discussed and exte...
Christoph Garth, Xavier Tricoche, Gerik Scheuerman...