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CVPR
2007
IEEE
14 years 10 months ago
Discriminative Learning of Dynamical Systems for Motion Tracking
We introduce novel discriminative learning algorithms for dynamical systems. Models such as Conditional Random Fields or Maximum Entropy Markov Models outperform the generative Hi...
Minyoung Kim, Vladimir Pavlovic
ICIP
2008
IEEE
14 years 10 months ago
Kalman filtered Compressed Sensing
We consider the problem of reconstructing time sequences of spatially sparse signals (with unknown and time-varying sparsity patterns) from a limited number of linear "incohe...
Namrata Vaswani
PERCOM
2003
ACM
14 years 8 months ago
Evaluation of Kalman Filtering for Network Time Keeping
Time information is critical for a variety of applications in distributed environments that facilitate pervasive computing and communication. This work describes and evaluates a no...
Aggelos Bletsas
TMM
2002
91views more  TMM 2002»
13 years 8 months ago
Power-spectrum condition for energy-efficient watermarking
This paper presents a model for watermarking and some attacks on watermarks. Given the watermarked signal, the so-called Wiener attack performs minimum mean-squared error (MMSE) es...
Jonathan K. Su, Bernd Girod
GLOBECOM
2010
IEEE
13 years 6 months ago
Differential Cooperative Communications with Space-Time Network Coding
Abstract--In multinode cooperative communications, simultaneous transmissions from two or more nodes are challenging due to its asynchronous nature. In addition, channel estimation...
Zhenzhen Gao, Hung-Quoc Lai, K. J. Ray Liu