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ICIP
2007
IEEE
15 years 11 months ago
Blind Audiovisual Source Separation using Sparse Representations
In this work we present a method to jointly separate active audio and visual structures on a given mixture. Blind Audiovisual Source Separation is achieved exploiting the coherenc...
Anna Llagostera Casanovas, Gianluca Monaci, Pierre...
ICIP
2002
IEEE
15 years 11 months ago
Dirty-paper trellis codes for watermarking
Informed coding is the practice of representing watermark messages with patterns that are dependent on the cover Works. This requires the use of a dirty-paper code, in which each ...
Gwenaël J. Doërr, Ingemar J. Cox, Matthe...
SDM
2009
SIAM
202views Data Mining» more  SDM 2009»
15 years 7 months ago
Proximity-Based Anomaly Detection Using Sparse Structure Learning.
We consider the task of performing anomaly detection in highly noisy multivariate data. In many applications involving real-valued time-series data, such as physical sensor data a...
Tsuyoshi Idé, Aurelie C. Lozano, Naoki Abe,...
ICASSP
2008
IEEE
15 years 4 months ago
Collusion-aware traitor tracing in multimedia fingerprinting using sparse signal approximation
We pose the problem of tracing traitors, who have colluded to circumvent a multimedia fingerprinting system, as a sparse underdetermined linear problem. We propose a range of det...
David P. Varodayan, Christine Pépin
MLDM
2005
Springer
15 years 3 months ago
Unsupervised Learning of Visual Feature Hierarchies
We propose an unsupervised, probabilistic method for learning visual feature hierarchies. Starting from local, low-level features computed at interest point locations, the method c...
Fabien Scalzo, Justus H. Piater