Supervised learning of a parts-based model can be for-
mulated as an optimization problem with a large (exponen-
tial in the number of parts) set of constraints. We show how
thi...
M. Pawan Kumar, Andrew Zisserman, Philip H.S. Torr
Multi-FPGA systems are used as custom computing machines to solve compute intensive problems and also in the verification and prototyping of large circuits. In this paper, we addr...
A serious problem of most transformation-based generators is that they are trying to achieve three mutually antagonistic goals simultaneously: 1) deeply factored operators and oper...
Most current mobile technologies require on-screen operations for interacting with devices’ visual contents. However, as a trade-off for mobility, screens usually provide limite...
— This paper introduces a heuristic solution to the multiple restricted multiplication (MRM) optimization problem. MRM refers to a situation where a single variable is multiplied...
Nalin Sidahao, George A. Constantinides, Peter Y. ...