Iterative numerical algorithms with high memory bandwidth requirements but medium-size data sets (matrix size ∼ a few 100s) are highly appropriate for FPGA acceleration. This pap...
Abid Rafique, Nachiket Kapre, George A. Constantin...
Subspace clustering and feature extraction are two of the most commonly used unsupervised learning techniques in computer vision and pattern recognition. State-of-theart technique...
Risheng Liu, Zhouchen Lin, Fernando De la Torre, Z...
While video-based activity analysis and recognition has received much attention, existing body of work mostly deals with single object/person case. Coordinated multi-object activi...
Abstract. Well known estimation techniques in computational geometry usually deal only with single geometric entities as unknown parameters and do not account for constrained obser...
— In this paper, we propose a novel asynchronous Media Access Control (MAC) protocol, Opportunistic MAC (OMAC), for Multiple Input Multiple Output (MIMO) ad-hoc networks. The pro...
Abhijeet Bhorkar, B. S. Manoj, Bhaskar D. Rao, Ram...