Abstract— The migration away from power-hungry, speculative execution procesors towards manycore architectures is good news for the embedded and real-time systems community. Comm...
In the context of shape and image modeling by manifold learning, we focus on the problem of denoising. A set of shapes or images being known through given samples, we capture its s...
Very Long Instruction Word (VLIW) processors are a popular choice in embedded domain due to their hardware simplicity, low cost and low power consumption. Simultaneous MultiThreadi...
- Canonical correlation analysis (CCA) is a major linear subspace approach to dimensionality reduction and has been applied to image processing, pose estimation and other fields. H...
Current practice in the design of application software for high-performance embedded computing systems is characterized by long development times, lack of interoperability with ot...