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SIGPRO
2010
135views more  SIGPRO 2010»
15 years 6 months ago
A short note on compressed sensing with partially known signal support
This short note studies a variation of the Compressed Sensing paradigm introduced recently by Vaswani et al., i.e. the recovery of sparse signals from a certain number of linear m...
Laurent Jacques
TIP
2010
129views more  TIP 2010»
15 years 6 months ago
Selective Data Pruning-Based Compression Using High-Order Edge-Directed Interpolation
—This paper proposes a selective data pruning-based compression scheme to improve the rate-distortion relation of compressed images and video sequences. The original frames are p...
Dung Trung Vo, Joel Solé, Peng Yin, Cristin...
ACL
2010
15 years 5 months ago
Boosting-Based System Combination for Machine Translation
In this paper, we present a simple and effective method to address the issue of how to generate diversified translation systems from a single Statistical Machine Translation (SMT)...
Tong Xiao, Jingbo Zhu, Muhua Zhu, Huizhen Wang
ICCV
2011
IEEE
14 years 4 months ago
Tracking by Sampling Trackers
We propose a novel tracking framework called visual tracker sampler that tracks a target robustly by searching for the appropriate trackers in each frame. Since the real-world trac...
junseok kwon and kyoung mu lee
235
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ML
2012
ACM
388views Machine Learning» more  ML 2012»
14 years 3 months ago
Statistical analysis of kernel-based least-squares density-ratio estimation
The ratio of two probability densities can be used for solving various machine learning tasks such as covariate shift adaptation (importance sampling), outlier detection (likeliho...
Takafumi Kanamori, Taiji Suzuki, Masashi Sugiyama