We present an approach to jointly solve the segmentation and recognition problem using a multiple segmentation framework. We formulate the problem as segment selection from a pool...
This paper is concerned with developing an information-theoretic framework to aggregate the state space of a Hidden Markov Model (HMM) on discrete state and observation spaces. The...
—This paper deals with optimized training sequences to estimate multiple-input multiple-output orthogonal frequencydivision multiplexing (MIMO-OFDM) channel states in the presenc...
In image resizing process, preserving structure on an image is important to produce plausible results. We proposed seam merging, a seam-carving-based image resizing method, and a ...
— The last two decades have seen many efficient algorithms and architectures for the design of low-complexity bit-parallel Multiple Constant Multiplications (MCM) operation, tha...