The recently presented recursive least squares dictionary learning algorithm (RLS-DLA) is tested in a general image compression application. Dictionaries are learned in the pixel ...
Multi-dimensional data structures have been widely applied in many data management fields. Spatial data indexing is their natural application, however there are many applications i...
This paper proposes a novel compression scheme with a tunable complexity-ratedistortion trade-off. As images increase in size and resolution, more efficient compression schemes w...
Xavier Delaunay, Marie Chabert, Vincent Charvillat...
An efficient compression scheme for color-quantized images based on progressive coding of color information has been developed. Instead of sorting color indexes into a linear list ...
—This paper presents a compression scheme for digital still images, by using the Kohonen’s neural network algorithm, not only for its vector quantization feature, but also for ...
C. Amerijckx, Michel Verleysen, Philippe Thissen, ...
We describe a compression scheme for the geometry component of 3D animation sequences. This scheme is based on the principle component analysis (PCA) method, which represents the ...
We analyse matching pursuit for kernel principal components analysis (KPCA) by proving that the sparse subspace it produces is a sample compression scheme. We show that this bound...
This paper improves the Tagged Suboptimal Codes (TSC) compression scheme in several ways. We show how to process the TSC as a universal code. We introduce the TSCk as a family of ...
We give a compression scheme for any maximum class of VC dimension d that compresses any sample consistent with a concept in the class to at most d unlabeled points from the domain...
Lossless data compression techniques can potentially free up more than 50% of the memory resources. However, previously proposed schemes suffer from high access costs. The propose...