In this paper we develop a theory for characterizing how deformable a shape is. We define a term called “deformability index” for shapes. The deformability index is computed ...
Most work in human activity recognition is limited to relatively simple behaviors like sitting down, standing up or other dramatic posture changes. Very little has been achieved i...
This paper integrates the signal, context and structure features for genome-wide promoter recognition, which is critical in many DNA sequence analysis tasks. First, CpG islands ar...
Many applications in computer vision and pattern recognition involve drawing inferences on certain manifoldvalued parameters. In order to develop accurate inference algorithms on ...
Pavan K. Turaga, Ashok Veeraraghavan, Rama Chellap...
This paper presents a new 3-D subband coding framework that is able to achieve a good balance between high compression performance and channel error resilience. Various data transf...