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ICIP
2007
IEEE
16 years 6 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
16 years 6 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»
16 years 1 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 11 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 10 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