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JMLR
2010
163views more  JMLR 2010»
13 years 3 months ago
Dense Message Passing for Sparse Principal Component Analysis
We describe a novel inference algorithm for sparse Bayesian PCA with a zero-norm prior on the model parameters. Bayesian inference is very challenging in probabilistic models of t...
Kevin Sharp, Magnus Rattray
IPPS
2006
IEEE
14 years 2 months ago
Conjugate gradient sparse solvers: performance-power characteristics
We characterize the performance and power attributes of the conjugate gradient (CG) sparse solver which is widely used in scientific applications. We use cycle-accurate simulatio...
Konrad Malkowski, Ingyu Lee, Padma Raghavan, Mary ...
ICASSP
2011
IEEE
13 years 7 days ago
Approximate nearest-subspace representations for sound mixtures
In this paper we present a novel approach to describe sound mixtures which is based on a geometric viewpoint. In this approach we extend the idea of a nearest-neighbor representat...
Paris Smaragdis
LISP
2008
104views more  LISP 2008»
13 years 8 months ago
On the implementation of automatic differentiation tools
Automatic differentiation is a semantic transformation that applies the rules of differential calculus to source code. It thus transforms a computer program that computes a mathema...
Christian H. Bischof, Paul D. Hovland, Boyana Norr...
IPPS
2007
IEEE
14 years 2 months ago
Memory Optimizations For Fast Power-Aware Sparse Computations
— We consider memory subsystem optimizations for improving the performance of sparse scientific computation while reducing the power consumed by the CPU and memory. We first co...
Konrad Malkowski, Padma Raghavan, Mary Jane Irwin