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SMI
2005
IEEE
15 years 5 months ago
Volumetric Data Analysis using Morse-Smale Complexes
The 3D Morse-Smale complex is a fundamental topological construct that partitions the domain of a real-valued function into regions having uniform gradient flow behavior. In this...
Vijay Natarajan, Valerio Pascucci
KDD
2002
ACM
126views Data Mining» more  KDD 2002»
16 years 4 days ago
Integrating feature and instance selection for text classification
Instance selection and feature selection are two orthogonal methods for reducing the amount and complexity of data. Feature selection aims at the reduction of redundant features i...
Dimitris Fragoudis, Dimitris Meretakis, Spiros Lik...
IROS
2007
IEEE
158views Robotics» more  IROS 2007»
15 years 6 months ago
Feature selection in conditional random fields for activity recognition
Abstract— Temporal classification, such as activity recognition, is a key component for creating intelligent robot systems. In the case of robots, classification algorithms mus...
Douglas L. Vail, John D. Lafferty, Manuela M. Velo...
ICDM
2007
IEEE
129views Data Mining» more  ICDM 2007»
15 years 1 months ago
Feature Selection for Nonlinear Kernel Support Vector Machines
An easily implementable mixed-integer algorithm is proposed that generates a nonlinear kernel support vector machine (SVM) classifier with reduced input space features. A single ...
Olvi L. Mangasarian, Gang Kou
DATAMINE
2006
224views more  DATAMINE 2006»
14 years 11 months ago
Characteristic-Based Clustering for Time Series Data
With the growing importance of time series clustering research, particularly for similarity searches amongst long time series such as those arising in medicine or finance, it is cr...
Xiaozhe Wang, Kate A. Smith, Rob J. Hyndman