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» Optimizing abstaining classifiers using ROC analysis
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CVPR
2007
IEEE
16 years 1 months ago
Adaptive Patch Features for Object Class Recognition with Learned Hierarchical Models
We present a hierarchical generative model for object recognition that is constructed by weakly-supervised learning. A key component is a novel, adaptive patch feature whose width...
Fabien Scalzo, Justus H. Piater
93
Voted
ICML
2006
IEEE
15 years 12 months ago
The support vector decomposition machine
In machine learning problems with tens of thousands of features and only dozens or hundreds of independent training examples, dimensionality reduction is essential for good learni...
Francisco Pereira, Geoffrey J. Gordon
106
Voted
ICCS
2005
Springer
15 years 4 months ago
Querying a Bioinformatic Data Sources Registry with Concept Lattices
Abstract Bioinformatic data sources available on the web are multiple and heterogenous. The lack of documentation and the difficulty of interaction with these data banks require us...
Nizar Messai, Marie-Dominique Devignes, Amedeo Nap...
CCS
2006
ACM
15 years 2 months ago
Secure attribute-based systems
Attributes define, classify, or annotate the datum to which they are assigned. However, traditional attribute architectures and cryptosystems are ill-equipped to provide security ...
Matthew Pirretti, Patrick Traynor, Patrick McDanie...
109
Voted
AUSDM
2008
Springer
258views Data Mining» more  AUSDM 2008»
15 years 1 months ago
wFDT - Weighted Fuzzy Decision Trees for Prognosis of Breast Cancer Survivability
Accurate and less invasive personalized predictive medicine can spare many breast cancer patients from receiving complex surgical biopsies, unnecessary adjuvant treatments and its...
Umer Khan, Hyunjung Shin, Jongpill Choi, Minkoo Ki...