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» Unsupervised scene analysis: A hidden Markov model approach
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ISVC
2009
Springer
14 years 2 months ago
Motion-Based View-Invariant Articulated Motion Detection and Pose Estimation Using Sparse Point Features
Abstract. We present an approach for articulated motion detection and pose estimation that uses only motion information. To estimate the pose and viewpoint we introduce a novel mot...
Shrinivas J. Pundlik, Stanley T. Birchfield
BMVC
2002
13 years 10 months ago
A Qualitative, Multi-scale Grammar For Image Description and Analysis
A qualitative image description grammar with automatic image fitting and object modelling algorithms is presented. The grammar is based on assigning a square sub-region of an imag...
Derek R. Magee
ICDAR
2009
IEEE
13 years 5 months ago
Stochastic Segment Modeling for Offline Handwriting Recognition
In this paper, we present a novel approach for incorporating structural information into the hidden Markov Modeling (HMM) framework for offline handwriting recognition. Traditiona...
Premkumar Natarajan, Krishna Subramanian, Anurag B...
DSN
2006
IEEE
13 years 11 months ago
An Approach for Detecting and Distinguishing Errors versus Attacks in Sensor Networks
Distributed sensor networks are highly prone to accidental errors and malicious activities, owing to their limited resources and tight interaction with the environment. Yet only a...
Claudio Basile, Meeta Gupta, Zbigniew Kalbarczyk, ...
BMCBI
2010
123views more  BMCBI 2010»
13 years 7 months ago
Decoding HMMs using the k best paths: algorithms and applications
Background: Traditional algorithms for hidden Markov model decoding seek to maximize either the probability of a state path or the number of positions of a sequence assigned to th...
Daniel G. Brown 0001, Daniil Golod