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ICML
2010
IEEE
13 years 10 months ago
Proximal Methods for Sparse Hierarchical Dictionary Learning
We propose to combine two approaches for modeling data admitting sparse representations: on the one hand, dictionary learning has proven effective for various signal processing ta...
Rodolphe Jenatton, Julien Mairal, Guillaume Obozin...
TOG
2008
140views more  TOG 2008»
13 years 8 months ago
Multidimensional adaptive sampling and reconstruction for ray tracing
We present a new adaptive sampling strategy for ray tracing. Our technique is specifically designed to handle multidimensional sample domains, and it is well suited for efficientl...
Toshiya Hachisuka, Wojciech Jarosz, Richard Peter ...
ICIP
2002
IEEE
14 years 1 months ago
An iterative algorithm for context selection in adaptive entropy coders
Context-based adaptive entropy coding is an essential feature of modern image compression algorithms; however, the design of these coders is non-trivial due to the balance that mu...
Tong Jin, Jacques Vaisey
MICCAI
2008
Springer
14 years 10 months ago
A Global Approach for Automatic Fibroscopic Video Mosaicing in Minimally Invasive Diagnosis
Recent developments in bio-photonics have called for the need of bringing cellular and molecular imaging modalities to an in vivo ? in situ setting to allow for real-time tissue ch...
Selen Atasoy, David P. Noonan, Selim Benhimane, ...
TKDE
2010
224views more  TKDE 2010»
13 years 3 months ago
Non-Negative Matrix Factorization for Semisupervised Heterogeneous Data Coclustering
Coclustering heterogeneous data has attracted extensive attention recently due to its high impact on various important applications, such us text mining, image retrieval, and bioin...
Yanhua Chen, Lijun Wang, Ming Dong