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ESANN
2003
13 years 11 months ago
Accelerating the convergence speed of neural networks learning methods using least squares
In this work a hybrid training scheme for the supervised learning of feedforward neural networks is presented. In the proposed method, the weights of the last layer are obtained em...
Oscar Fontenla-Romero, Deniz Erdogmus, José...
SASP
2008
IEEE
94views Hardware» more  SASP 2008»
14 years 4 months ago
An MDCT Hardware Accelerator for MP3 Audio
— With the increasing popularity of MP3 audio, there is a need to develop cost and power efficient architectures for the MP3 encoder and decoder. This paper describes dedicated ...
Xingdong Dai, Meghanad D. Wagh
HAPTICS
2007
IEEE
14 years 4 months ago
Accelerated Proximity Queries for Haptic Rendering of Deformable Models
We present a fast proximity query algorithm for haptic display of complex deformable models using a layered representation. Assuming that each solid model can be represented as a ...
Nico Galoppo, Miguel A. Otaduy, Paul Mecklenburg, ...
IEEEPACT
2005
IEEE
14 years 3 months ago
Exploiting Coarse-Grained Parallelism to Accelerate Protein Motif Finding with a Network Processor
While general-purpose processors have only recently employed chip multiprocessor (CMP) architectures, network processors (NPs) have used heterogeneous multi-core architectures sin...
Ben Wun, Jeremy Buhler, Patrick Crowley
VMV
2003
173views Visualization» more  VMV 2003»
13 years 11 months ago
Improved Hardware-Accelerated Visual Hull Rendering
The visual hull is an efficient shape approximation for the purpose of reconstructing and visualizing dynamic objects. Recently, rapid progress in graphics hardware development h...
Ming Li, Marcus A. Magnor, Hans-Peter Seidel