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TSP
2010
14 years 9 months ago
Doubly selective channel estimation using exponential basis models and subblock tracking
Three versions of a novel adaptive channel estimation approach, exploiting the over-sampled complex exponential basis expansion model (CE-BEM), is presented fordoubly selectivechan...
Jitendra K. Tugnait, Shuangchi He, Hyosung Kim
ICCV
2011
IEEE
14 years 2 months ago
Optical Flow Estimation Using Learned Sparse Model
Optical flow estimation is a fundamental and ill-posed problem in computer vision. To recover a dense flow field, appropriate spatial constraints have to be enforced. Recent ad...
Kui Jia, Xiaogang Wang, Xiaoou Tang
LREC
2010
156views Education» more  LREC 2010»
15 years 3 months ago
Estimation Method of User Satisfaction Using N-gram-based Dialog History Model for Spoken Dialog System
In this paper, we propose an estimation method of user satisfaction for a spoken dialog system using an N-gram-based dialog history model. We have collected a large amount of spok...
Sunao Hara, Norihide Kitaoka, Kazuya Takeda
MICCAI
2001
Springer
15 years 6 months ago
Repeatability and Accuracy of Ankle Centre Location Estimates Using a Biaxial Joint Model
In conventional total knee replacement (TKR) surgery, a significant fraction of implants have varus/valgus alignment errors large enough to reduce the lifespan of the implant, so w...
Cameron A. Shute, Antony J. Hodgson
ICCV
2001
IEEE
16 years 4 months ago
Topology Free Hidden Markov Models: Application to Background Modeling
Hidden Markov Models (HMMs) are increasingly being used in computer vision for applications such as: gesture analysis, action recognition from video, and illumination modeling. Th...
Bjoern Stenger, Visvanathan Ramesh, Nikos Paragios...