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PATMOS
2000
Springer
13 years 11 months ago
Data-Reuse and Parallel Embedded Architectures for Low-Power, Real-Time Multimedia Applications
Exploitation of data re-use in combination with the use of custom memory hierarchy that exploits the temporal locality of data accesses may introduce significant power savings, esp...
Dimitrios Soudris, Nikolaos D. Zervas, Antonios Ar...
ICML
2010
IEEE
13 years 8 months ago
Hilbert Space Embeddings of Hidden Markov Models
Hidden Markov Models (HMMs) are important tools for modeling sequence data. However, they are restricted to discrete latent states, and are largely restricted to Gaussian and disc...
Le Song, Sajid M. Siddiqi, Geoffrey J. Gordon, Ale...
IEEEPACT
2009
IEEE
13 years 5 months ago
Algorithmic Skeletons within an Embedded Domain Specific Language for the CELL Processor
Efficiently using the hardware capabilities of the Cell processor, a heterogeneous chip multiprocessor that uses several levels of parallelism to deliver high performance, and bei...
Tarik Saidani, Joel Falcou, Claude Tadonki, Lionel...
RTCSA
2009
IEEE
14 years 2 months ago
Towards Hardware Support for Common Sensor Processing Tasks
—Sensor processing is a common task within many embedded system domains, such as in control systems, the sensor feedback is used for actuator control. In this paper we have surve...
Adwait Gupte, Phillip Jones
WACV
2012
IEEE
12 years 2 months ago
Kernel analysis over Riemannian manifolds for visual recognition of actions, pedestrians and textures
A convenient way of analysing Riemannian manifolds is to embed them in Euclidean spaces, with the embedding typically obtained by flattening the manifold via tangent spaces. This...
Mehrtash Tafazzoli Harandi, Conrad Sanderson, Arno...