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» Feature Construction for Relational Sequence Learning
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ECCV
2008
Springer
16 years 1 months ago
Unsupervised Learning of Skeletons from Motion
Abstract. Humans demonstrate a remarkable ability to parse complicated motion sequences into their constituent structures and motions. We investigate this problem, attempting to le...
David A. Ross, Daniel Tarlow, Richard S. Zemel
HUC
2010
Springer
14 years 11 months ago
Bayesian recognition of motion related activities with inertial sensors
This work presents the design and evaluation of an activity recognition system for seven important motion related activities. The only sensor used is an Inertial Measurement Unit ...
Korbinian Frank, Maria Josefa Vera Nadales, Patric...
EELC
2006
154views Languages» more  EELC 2006»
15 years 3 months ago
Unify and Merge in Fluid Construction Grammar
Research into the evolution of grammar requires that we employ formalisms and processing mechanisms that are powerful enough to handle features found in human natural languages. Bu...
Luc Steels, Joachim De Beule
AAECC
2006
Springer
120views Algorithms» more  AAECC 2006»
14 years 11 months ago
Continued fraction for formal laurent series and the lattice structure of sequences
Abstract Besides equidistribution properties and statistical independence the lattice profile, a generalized version of Marsaglia's lattice test, provides another quality meas...
Wilfried Meidl
ICASSP
2008
IEEE
15 years 6 months ago
Discriminative feature selection for hidden Markov models using Segmental Boosting
We address the feature selection problem for hidden Markov models (HMMs) in sequence classification. Temporal correlation in sequences often causes difficulty in applying featur...
Pei Yin, Irfan A. Essa, Thad Starner, James M. Reh...