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ML
2012
ACM
388views Machine Learning» more  ML 2012»
12 years 15 days 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
ICIP
2010
IEEE
13 years 2 months ago
Adaptive blotches detection for film restoration
Blotches are very common, localized, and non persistent impairments in digitized film archive. Many methods have been proposed so far for detecting them and restoring the underlyi...
Antoni Buades, Julie Delon, Yann Gousseau, Simon M...
IWCM
2004
Springer
13 years 10 months ago
Wiener-Optimized Discrete Filters for Differential Motion Estimation
Abstract. Differential motion estimation is based on detecting brightness changes in local image structures. Filters approximating the local gradient are applied to the image seque...
Kai Krajsek, Rudolf Mester
TSP
2010
12 years 11 months ago
A robust method to count and locate audio sources in a multichannel underdetermined mixture
We propose a method to count and estimate the mixing directions in an underdetermined multichannel mixture. The approach is based on the hypothesis that in the neighbourhood of som...
Simon Arberet, Rémi Gribonval, Fréd&...
ICASSP
2008
IEEE
13 years 11 months ago
Variance reduction with neighborhood smoothing for local intrinsic dimension estimation
Local intrinsic dimension estimation has been shown to be useful for many tasks such as image segmentation, anomaly detection, and de-biasing global dimension estimates. Of partic...
Kevin M. Carter, Alfred O. Hero