In this study, we explore the domain of orthogonal transforms, in order to bring an understanding on the characterization of image features, with emphasis placed on the Karhunen-L...
Malek Adjouadi, Habibie Sumargo, Jean Andrian, Fra...
Achieving peak performance in important numerical kernels such as dense matrix multiply or sparse-matrix vector multiplication usually requires extensive, machine-dependent tuning ...
Various types of moments have been used to recognize image patterns in a number of applications. However, only few works have paid attention to the completeness property of the in...
A polynomial depth quantum circuit affects, by definition, a poly-local unitary transformation of a tensor product state space. It is a reasonable belief [Fe], [L], [FKW] that, at ...
This paper presents a postprocessing technique based on the theory of projections onto convex sets (POCS) to reduce the blocking artifacts in low bit rate BDCT-coded images. In the...
Yoon Kim, Chun-Su Park, Kyunghun Jang, Sung-Jea Ko