Searching for authors named "Laurent Alonso" – sorted by Relevance.
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The Three Dimensional Polyominoes Of Minimal Area
- THE THREE DIMENSIONAL POLYOMINOES OF MINIMAL AREA Laurent ALONSO ∗ CRIN-INRIA, Loria, BP239 54506
- Cited by 12 (0 self) – Add To MetaCart
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A Linear Time Algorithm for the Generation of Trees
- AUTOMATIQUE A linear time algorithm for the generation of trees Laurent Alonso Jean-Luc Remy Rene Schott N
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Using Graphics Hardware to Speed-Up Your Visibility Queries
- Using graphics hardware to speed-up your visibility queries Laurent Alonso and Nicolas Holzschuch
- Cited by 3 (1 self) – Add To MetaCart
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A Novel Approach Makes Higher Order Wavelets Really Efficient for Radiosity
- approach makes higher order wavelets really efficient for radiosity François Cuny † , Laurent Alonso
- Cited by 8 (5 self) – Add To MetaCart
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Wavelet radiosity on arbitrary planar surfaces
- Wavelet Radiosity on Arbitrary Planar Surfaces Nicolas Holzschuch 1 ,François Cuny 2 and Laurent
- Cited by 6 (3 self) – Add To MetaCart
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Using Graphics Hardware to Speed-Up Your Visibility
- Using graphics hardware to speed-up your visibility queries Laurent Alonso and Nicolas Holzschuch
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Master-Element Vector Irradiance for Large Tessellated Models, in "Graphite conf. proc
- Tessellated Models Bruno Lévy † Project ALICE INRIA Lorraine Laurent Alonso ‡ Project ALICE INRIA Lorraine
- Cited by 5 (0 self) – Add To MetaCart
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The Chip Problem
- The Chip Problem Laurent Alonso y Philippe Chassaing z Edward M. Reingold x Rene Schott
- Cited by 2 (1 self) – Add To MetaCart
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Sorting With Unreliable Comparisons: A Probabilistic Analysis
- SORTING WITH UNRELIABLE COMPARISONS: A PROBABILISTIC ANALYSIS LAURENT ALONSO, PHILIPPE CHASSAING
- Cited by 1 (0 self) – Add To MetaCart
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Computer Graphics (SIGGRAPH '88
- tion '96, pages 327--334, October 1996. DRAFT: 6/6/00 175 ferent refiners for hierarchical radiosity. In B. Girod, H. Niemann, and H.-P. Seidel, editors, 3D Image Analysis and Synthesis '97, 1997. [Stam97c] Marc Stamminger, Philipp Slusallek, and Hans-Peter Seidel. Bounded clustering - finding go
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