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» Dining Activity Analysis Using a Hidden Markov Model
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ICPR
2004
IEEE
14 years 9 months ago
Human Action Segmentation via Controlled Use of Missing Data in HMMs
Segmentation of individual actions from a stream of human motion is an open problem in computer vision. This paper approaches the problem of segmenting higher-level activities int...
Patrick Peursum, Hung Hai Bui, Svetha Venkatesh, G...
ICMLA
2009
13 years 6 months ago
Structured Prediction Models for Chord Transcription of Music Audio
Chord sequences are a compact and useful description of music, representing each beat or measure in terms of a likely distribution over individual notes without specifying the not...
Adrian Weller, Daniel P. W. Ellis, Tony Jebara
INTERSPEECH
2010
13 years 3 months ago
HMM-based text-to-articulatory-movement prediction and analysis of critical articulators
In this paper we present a method to predict the movement of a speaker's mouth from text input using hidden Markov models (HMM). We have used a corpus of human articulatory m...
Zhen-Hua Ling, Korin Richmond, Junichi Yamagishi
PAMI
2011
13 years 3 months ago
Decoupled Active Contour (DAC) for Boundary Detection
— The accurate detection of object boundaries via active contours is an ongoing research topic in computer vision. Most active contours converge towards some desired contour by m...
Akshaya Kumar Mishra, Paul W. Fieguth, David A. Cl...
ICDAR
2007
IEEE
14 years 2 months ago
Handwritten Word Recognition Using Conditional Random Fields
The paper describes a lexicon driven approach for word recognition on handwritten documents using Conditional Random Fields(CRFs). CRFs are discriminative models and do not make a...
Shravya Shetty, Harish Srinivasan, Sargur N. Sriha...