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CVPR
2008
IEEE
14 years 9 months ago
Hierarchical, learning-based automatic liver segmentation
In this paper we present a hierarchical, learning-based approach for automatic and accurate liver segmentation from 3D CT volumes. We target CT volumes that come from largely dive...
Haibin Ling, Shaohua Kevin Zhou, Yefeng Zheng, Bog...
SIGMOD
2009
ACM
133views Database» more  SIGMOD 2009»
14 years 7 months ago
Hierarchical result views for keyword queries over relational databases
Enabling keyword queries over relational databases (KQDB) benefits a large population of users who have difficulty in understanding the database schema or using SQLs. However, sin...
Shiyuan Wang, Jun'ichi Tatemura, Arsany Sawires, O...
INFORMATICALT
2008
124views more  INFORMATICALT 2008»
13 years 7 months ago
Hierarchical Adaptive Clustering
This paper studies an adaptive clustering problem. We focus on re-clustering an object set, previously clustered, when the feature set characterizing the objects increases. We prop...
Gabriela Serban, Alina Campan
VRST
2003
ACM
14 years 23 days ago
Time-critical collision detection using an average-case approach
We present a novel, generic framework and algorithm for hierarchical collision detection, which allows an application to balance speed and quality of the collision detection. We p...
Jan Klein, Gabriel Zachmann
SEW
2006
IEEE
14 years 1 months ago
Pseudo-Exhaustive Testing for Software
Pseudo-exhaustive testing uses the empirical observation that, for broad classes of software, a fault is likely triggered by only a few variables interacting. The method takes adv...
D. Richard Kuhn, Vadim Okun