To tackle this problem, we propose a Two Stage Architecture (TSA) for efficient multi-label learning.
We also develop a transform domain residual coding method in this two stage architecture such that it further reduces the computational complexity.
Among the different configurations (i.e. "linear", linear with SRBs, tri stages, parallel with cross feeding) conventional two stage architecture seems the one of the best to reach these goals.
The algorithm proposed in this paper is of the same kind but it has two stages architecture.
A three stage pipelined architecture for the Arithmetic Encoder is used to speed up the encoding.
The chapter elaborates on these three stages of architecture.
This two stage processing architecture may simultaneously allow for rapid detection followed by discounting false alarms in face perception.
The PA features a three stage transformer coupled differential architecture with integrated input and output baluns on-chip.
A movie in three stages illustrating the architecture and potential ssRNA binding and active site of C3PO complex.
There are three stages of the architecture: a transconductance stage (differential voltage in, current out), a transimpedance stage (current in, voltage out), and a unity-voltage gain output stage.
