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MICCAI
2007
Springer
14 years 8 months ago
False Positive Reduction in Mammographic Mass Detection Using Local Binary Patterns
In this paper we propose a new approach for false positive reduction in the field of mammographic mass detection. The goal is to distinguish between the true recognized masses and ...
Arnau Oliver, Joan Martí, Jordi Freixenet, ...
ICML
2005
IEEE
14 years 8 months ago
Supervised versus multiple instance learning: an empirical comparison
We empirically study the relationship between supervised and multiple instance (MI) learning. Algorithms to learn various concepts have been adapted to the MI representation. Howe...
Soumya Ray, Mark Craven
KDD
2004
ACM
113views Data Mining» more  KDD 2004»
14 years 8 months ago
Learning spatially variant dissimilarity (SVaD) measures
Clustering algorithms typically operate on a feature vector representation of the data and find clusters that are compact with respect to an assumed (dis)similarity measure betwee...
Krishna Kummamuru, Raghu Krishnapuram, Rakesh Agra...
DCC
2007
IEEE
14 years 7 months ago
A sequence approach to linear perfect hash families
A linear (qd, q, t)-perfect hash family of size s in a vector space V of order qd over a field F of order q consists of a set S = {1, . . . , s} of linear functionals from V to F ...
Susan G. Barwick, Wen-Ai Jackson
CVPR
2010
IEEE
14 years 4 months ago
Finding Dots: Segmentation as Popping out Regions from Boundaries
Many applications need to segment out all small round regions in an image. This task of finding dots can be viewed as a region segmentation problem where the dots form one regio...
Elena Bernardis, Stella Yu