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ICASSP
2008
IEEE
14 years 1 months ago
Exploiting contextual information for improved phoneme recognition
In this paper, we investigate the significance of contextual information in a phoneme recognition system using the hidden Markov model - artificial neural network paradigm. Cont...
Joel Pinto, B. Yegnanarayana, Hynek Hermansky, Mat...
ICASSP
2011
IEEE
12 years 11 months ago
A new method for visual stylometry on impressionist paintings
A new emerging field, that of visual stylometry of art, proposes to apply image analysis and machine learning tools to high-resolution digital images of artwork in order to assis...
Hanchao Qi, Shannon Hughes
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...
CIVR
2008
Springer
207views Image Analysis» more  CIVR 2008»
13 years 9 months ago
Accumulated motion energy fields estimation and representation for semantic event detection
In this paper, a motion-based approach for detecting highlevel semantic events in video sequences is presented. Its main characteristic is its generic nature, i.e. it can be direc...
Georgios Th. Papadopoulos, Vasileios Mezaris, Ioan...
CVPR
1998
IEEE
14 years 9 months ago
Action Recognition Using Probabilistic Parsing
A new approach to the recognition of temporal behaviors and activities is presented. The fundamental idea, inspired by work in speech recognition, is to divide the inference probl...
Aaron F. Bobick, Yuri A. Ivanov