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» Optimizing Feature Sets for Structured Data
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ICPR
2010
IEEE
14 years 2 months ago
Motif Discovery and Feature Selection for CRF-Based Activity Recognition
Abstract—Due to their ability to model sequential data without making unnecessary independence assumptions, conditional random fields (CRFs) have become an increasingly popular ...
Liyue Zhao, Xi Wang, Gita Sukthankar
ECOOP
2003
Springer
14 years 2 months ago
Higher-Order Hierarchies
This paper explains how higher-order hierarchies can be used to handle the expression problem. The expression is concerned with extending both the set of data structures and the s...
Erik Ernst
SG
2009
Springer
14 years 3 months ago
Feature-Driven Volume Fairing
Abstract. Volume datasets have been a primary representation for scientific visualization with the advent of rendering algorithms such as marching cubes and ray casting. Nonethele...
Shigeo Takahashi, Jun Kobayashi, Issei Fujishiro
AAAI
2006
13 years 10 months ago
Multiclass Support Vector Machines for Articulatory Feature Classification
of somewhat abstracting away from the literal physiological measurements of articulation that are so closely tied to the acoustic signal, and with some additional computational bur...
Brian Hutchinson, Jianna Zhang
ICDE
2008
IEEE
155views Database» more  ICDE 2008»
14 years 10 months ago
Lattice Histograms: a Resilient Synopsis Structure
Despite the surge of interest in data reduction techniques over the past years, no method has been proposed to date that can always achieve approximation quality preferable to that...
Panagiotis Karras, Nikos Mamoulis