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CVPR
2006
IEEE
14 years 9 months ago
Gesture Recognition using Hidden Markov Models from Fragmented Observations
We consider the problem of computing the likelihood of a gesture from regular, unaided video sequences, without relying on perfect segmentation of the scene. Instead of requiring ...
Ruiduo Yang, Sudeep Sarkar
WIAMIS
2009
IEEE
14 years 2 months ago
Archive film defect detection based on a hidden Markov model
We propose a novel statistical approach to detect defects in digitized archive film by using temporal information across a number of frames modeled with an HMM. The HMM is traine...
Xiaosong Wang, Majid Mirmehdi
DAGSTUHL
2006
13 years 8 months ago
On impossibility of sequential algorithmic forecasting
The problem of prediction future event given an individual sequence of past events is considered. Predictions are given in form of real numbers pn which are computed by some algori...
Vladimir V. V'yugin
STAIRS
2008
175views Education» more  STAIRS 2008»
13 years 8 months ago
Learning Process Behavior with EDY: an Experimental Analysis
This paper presents an extensive evaluation, on artificial datasets, of EDY, an unsupervised algorithm for automatically synthesizing a Structured Hidden Markov Model (S-HMM) from ...
Ugo Galassi
NIPS
2001
13 years 8 months ago
Linear-time inference in Hierarchical HMMs
The hierarchical hidden Markov model (HHMM) is a generalization of the hidden Markov model (HMM) that models sequences with structure at many length/time scales [FST98]. Unfortuna...
K. P. Murphy, Mark A. Paskin