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MICCAI
2000
Springer
15 years 3 months ago
Small Sample Size Learning for Shape Analysis of Anatomical Structures
We present a novel approach to statistical shape analysis of anatomical structures based on small sample size learning techniques. The high complexity of shape models used in medic...
Polina Golland, W. Eric L. Grimson, Martha Elizabe...
181
Voted
SIGMOD
2009
ACM
258views Database» more  SIGMOD 2009»
15 years 12 months ago
Continuous obstructed nearest neighbor queries in spatial databases
In this paper, we study a novel form of continuous nearest neighbor queries in the presence of obstacles, namely continuous obstructed nearest neighbor (CONN) search. It considers...
Yunjun Gao, Baihua Zheng
GECCO
2005
Springer
129views Optimization» more  GECCO 2005»
15 years 5 months ago
Post-processing clustering to reduce XCS variability
XCS is a stochastic algorithm, so it does not guarantee to produce the same results when run with the same input. When interpretability matters, obtaining a single, stable result ...
Flavio Baronti, Alessandro Passaro, Antonina Stari...
109
Voted
ECCV
2010
Springer
15 years 2 months ago
Object Segmentation by Long Term Analysis of Point Trajectories
Unsupervised learning requires a grouping step that defines which data belong together. A natural way of grouping in images is the segmentation of objects or parts of objects. Whi...
CVPR
2006
IEEE
16 years 1 months ago
Groupwise point pattern registration using a novel CDF-based Jensen-Shannon Divergence
In this paper, we propose a novel and robust algorithm for the groupwise non-rigid registration of multiple unlabeled point-sets with no bias toward any of the given pointsets. To...
Fei Wang, Baba C. Vemuri, Anand Rangarajan