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» Using Machine Learning to Guide Architecture Simulation
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IJCAI
2007
13 years 9 months ago
Improving Embeddings by Flexible Exploitation of Side Information
Dimensionality reduction is a much-studied task in machine learning in which high-dimensional data is mapped, possibly via a non-linear transformation, onto a low-dimensional mani...
Ali Ghodsi, Dana F. Wilkinson, Finnegan Southey
ICANN
2007
Springer
14 years 2 months ago
SpikeStream: A Fast and Flexible Simulator of Spiking Neural Networks
SpikeStream is a new simulator of biologically structured spiking neural networks that can be used to edit, display and simulate up to 100,000 neurons. This simulator uses a combin...
David Gamez
IPPS
1999
IEEE
14 years 9 days ago
Dynamically Scheduling the Trace Produced During Program Execution into VLIW Instructions
VLIW machines possibly provide the most direct way to exploit instruction level parallelism; however, they cannot be used to emulate current general-purpose instruction set archit...
Alberto Ferreira de Souza, Peter Rounce
ICML
2009
IEEE
13 years 5 months ago
Multiple indefinite kernel learning with mixed norm regularization
We address the problem of learning classifiers using several kernel functions. On the contrary to many contributions in the field of learning from different sources of information...
Matthieu Kowalski, Marie Szafranski, Liva Ralaivol...
ISMAR
2007
IEEE
14 years 2 months ago
Laser Pointer Tracking in Projector-Augmented Architectural Environments
We present a system that applies a custom-built pan-tilt-zoom camera for laser-pointer tracking in arbitrary real environments. Once placed in a building environment, it carries o...
Daniel Kurz, Ferry Hantsch, Max Grosse, Alexander ...