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» Online Learning of Non-stationary Sequences
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IROS
2008
IEEE
142views Robotics» more  IROS 2008»
14 years 1 months ago
Scaffolding on-line segmentation of full body human motion patterns
Abstract— This paper develops an approach for on-line segmentation of whole body human motion patterns during human motion observation and learning. A Hidden Markov Model is used...
Dana Kulic, Yoshihiko Nakamura
ICCV
2007
IEEE
14 years 1 months ago
Co-Tracking Using Semi-Supervised Support Vector Machines
This paper treats tracking as a foreground/background classification problem and proposes an online semisupervised learning framework. Initialized with a small number of labeled ...
Feng Tang, Shane Brennan, Qi Zhao, Hai Tao
NIPS
2003
13 years 8 months ago
Online Passive-Aggressive Algorithms
We present a family of margin based online learning algorithms for various prediction tasks. In particular we derive and analyze algorithms for binary and multiclass categorizatio...
Shai Shalev-Shwartz, Koby Crammer, Ofer Dekel, Yor...
CORR
2006
Springer
96views Education» more  CORR 2006»
13 years 7 months ago
Metric entropy in competitive on-line prediction
Competitive on-line prediction (also known as universal prediction of individual sequences) is a strand of learning theory avoiding making any stochastic assumptions about the way...
Vladimir Vovk
FORMATS
2004
Springer
14 years 22 days ago
Learning of Event-Recording Automata
Abstract. We extend Angluin’s algorithm for on-line learning of regular languages to the setting of timed systems. We consider systems that can be described by a class of determi...
Olga Grinchtein, Bengt Jonsson, Martin Leucker