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ACCV
2006
Springer
15 years 6 months ago
Markovian Framework for Foreground-Background-Shadow Separation of Real World Video Scenes
Abstract. In this paper we give a new model for foreground-background-shadow separation. Our method extracts the faithful silhouettes of foreground objects even if they have partly...
Csaba Benedek, Tamás Szirányi
IJCV
2008
172views more  IJCV 2008»
15 years 3 days ago
Nonparametric Bayesian Image Segmentation
Image segmentation algorithms partition the set of pixels of an image into a specific number of different, spatially homogeneous groups. We propose a nonparametric Bayesian model f...
Peter Orbanz, Joachim M. Buhmann
86
Voted
NAACL
2010
14 years 10 months ago
Investigations into the Crandem Approach to Word Recognition
We suggest improvements to a previously proposed framework for integrating Conditional Random Fields and Hidden Markov Models, dubbed a Crandem system (2009). The previous authors...
Rohit Prabhavalkar, Preethi Jyothi, William Hartma...
SIGDIAL
2010
14 years 10 months ago
Cross-Domain Speech Disfluency Detection
We build a model for speech disfluency detection based on conditional random fields (CRFs) using the Switchboard corpus. This model is then applied to a new domain without any ada...
Kallirroi Georgila, Ning Wang, Jonathan Gratch
JMLR
2012
13 years 3 months ago
Sample Complexity of Composite Likelihood
We present the first PAC bounds for learning parameters of Conditional Random Fields [12] with general structures over discrete and real-valued variables. Our bounds apply to com...
Joseph K. Bradley, Carlos Guestrin