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ICML
1998
IEEE
16 years 7 months ago
Feature Selection via Concave Minimization and Support Vector Machines
Computational comparison is made between two feature selection approaches for nding a separating plane that discriminates between two point sets in an n-dimensional feature space ...
Paul S. Bradley, Olvi L. Mangasarian
205
Voted
SAC
2008
ACM
15 years 6 months ago
An efficient feature ranking measure for text categorization
A major obstacle that decreases the performance of text classifiers is the extremely high dimensionality of text data. To reduce the dimension, a number of approaches based on rou...
Songbo Tan, Yuefen Wang, Xueqi Cheng
ICANN
2011
Springer
14 years 10 months ago
Transforming Auto-Encoders
The artificial neural networks that are used to recognize shapes typically use one or more layers of learned feature detectors that produce scalar outputs. By contrast, the comput...
Geoffrey E. Hinton, Alex Krizhevsky, Sida D. Wang
POPL
2005
ACM
16 years 7 months ago
Region-based shape analysis with tracked locations
This paper proposes a novel approach to shape analysis: using local reasoning about individual heap locations of global reasoning about entire heap abstractions. We present an int...
Brian Hackett, Radu Rugina
SCALESPACE
2009
Springer
16 years 1 months ago
A Variational Model for Interactive Shape Prior Segmentation and Real-Time Tracking
In this paper, we introduce a semi-automated segmentation method based on minimizing the Geodesic Active Contour energy incorporating a shape prior. We increase the robustness of t...
Manuel Werlberger, Thomas Pock, Markus Unger, Hors...