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SIBGRAPI
2006
IEEE
16 years 22 days ago
Extracting Discriminative Information from Medical Images: A Multivariate Linear Approach
Statistical discrimination methods are suitable not only for classification but also for characterisation of differences between a reference group of patterns and the population u...
Carlos E. Thomaz, Nelson A. O. Aguiar, Sergio H. A...
DAC
2010
ACM
15 years 10 months ago
Networks on Chips: from research to products
Research on Networks on Chips (NoCs) has spanned over a decade and its results are now visible in some products. Thus the seminal idea of using networking technology to address th...
Giovanni De Micheli, Ciprian Seiculescu, Srinivasa...
EDBT
2000
ACM
15 years 10 months ago
Mining Classification Rules from Datasets with Large Number of Many-Valued Attributes
Decision tree induction algorithms scale well to large datasets for their univariate and divide-and-conquer approach. However, they may fail in discovering effective knowledge when...
Giovanni Giuffrida, Wesley W. Chu, Dominique M. Ha...
ICCV
2011
IEEE
14 years 6 months ago
Strong Supervision From Weak Annotation: Interactive Training of Deformable Part Models
We propose a framework for large scale learning and annotation of structured models. The system interleaves interactive labeling (where the current model is used to semiautomate t...
Steven Branson, Pietro Perona, Serge Belongie
MOBICOM
1999
ACM
15 years 11 months ago
An Architecture for a Secure Service Discovery Service
The widespread deployment of inexpensive communications technology, computational resources in the networking infrastructure, and network-enabled end devices poses an interesting ...
Steven E. Czerwinski, Ben Y. Zhao, Todd D. Hodes, ...