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PREMI
2007
Springer
15 years 4 months ago
Rough Set Theory of Pattern Classification in the Brain
Humans effortlessly classify and recognize complex patterns even if their attributes are imprecise and often inconsistent. It is not clear how the brain processes uncertain visual ...
Andrzej W. Przybyszewski
ICML
2007
IEEE
15 years 11 months ago
Discriminative Gaussian process latent variable model for classification
Supervised learning is difficult with high dimensional input spaces and very small training sets, but accurate classification may be possible if the data lie on a low-dimensional ...
Raquel Urtasun, Trevor Darrell
VLDB
2004
ACM
121views Database» more  VLDB 2004»
15 years 3 months ago
An Automatic Data Grabber for Large Web Sites
We demonstrate a system to automatically grab data from data intensive web sites. The system first infers a model that describes at the intensional level the web site as a collec...
Valter Crescenzi, Giansalvatore Mecca, Paolo Meria...
COCO
2004
Springer
79views Algorithms» more  COCO 2004»
15 years 1 months ago
Small Spans in Scaled Dimension
Juedes and Lutz (1995) proved a small span theorem for polynomial-time many-one reductions in exponential time. This result says that for language A decidable in exponential time,...
John M. Hitchcock
130
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MICCAI
2000
Springer
15 years 1 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...