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» Application of Level Set Methods in Computer Vision
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ICPR
2004
IEEE
16 years 7 months ago
Reconstruction of Medical Images by Perspective Shape-from-Shading
Shape-from-Shading (SfS) is a fundamental problem in Computer Vision; it is based upon the image irradiance equation. Recently, the authors proposed to solve the image irradiance ...
Ariel Tankus, Nir A. Sochen, Yehezkel Yeshurun
EMMCVPR
2005
Springer
16 years 7 days ago
Segmentation Informed by Manifold Learning
In many biomedical imaging applications, video sequences are captured with low resolution and low contrast challenging conditions in which to detect, segment, or track features. Wh...
Qilong Zhang, Richard Souvenir, Robert Pless
210
Voted
EUROPAR
2003
Springer
15 years 12 months ago
Dynamic Load Partitioning Strategies for Managing Data of Space and Time Heterogeneity in Parallel SAMR Applications
This paper presents the design and experimental evaluation of two dynamic load partitioning and balancing strategies for parallel Structured Adaptive Mesh Refinement (SAMR) applic...
Xiaolin Li, Manish Parashar
174
Voted
KDD
2002
ACM
140views Data Mining» more  KDD 2002»
16 years 7 months ago
Mining frequent item sets by opportunistic projection
In this paper, we present a novel algorithm OpportuneProject for mining complete set of frequent item sets by projecting databases to grow a frequent item set tree. Our algorithm ...
Junqiang Liu, Yunhe Pan, Ke Wang, Jiawei Han
ECCV
2010
Springer
15 years 6 months ago
MIForests: Multiple-Instance Learning with Randomized Trees
Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...
Christian Leistner, Amir Saffari, Horst Bischof