—This paper presents a novel lossless data embedding algorithm for electronic inks. The proposed algorithm first computes the analytical ink-curve for each stroke as a set of sm...
The central issue in representing graphstructured data instances in learning algorithms is designing features which are invariant to permuting the numbering of the vertices. We pr...
This paper proposes an efficient relevance feedback based interactive model for keyword generation in sponsored search advertising. We formulate the ranking of relevant terms as a...
Current semi-structured keyword search and natural language query processing systems use ad hoc approaches to take advantage of structural information. Although intuitive, they ar...
A parallel structure to do spectrum sensing in Cognitive Radio (CR) at sub-Nyquist rate is proposed. The structure is based on Compressed Sensing (CS) that exploits the sparsity o...