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» Quantization of Sparse Representations
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CVPR
2007
IEEE
14 years 9 months ago
Sparse Kernels for Bayes Optimal Discriminant Analysis
Discriminant Analysis (DA) methods have demonstrated their utility in countless applications in computer vision and other areas of research ? especially in the C class classificat...
Aleix M. Martínez, Onur C. Hamsici
PAMI
2006
145views more  PAMI 2006»
13 years 7 months ago
Reflectance Sharing: Predicting Appearance from a Sparse Set of Images of a Known Shape
Three-dimensional appearance models consisting of spatially varying reflectance functions defined on a known shape can be used in analysis-by-synthesis approaches to a number of vi...
Todd Zickler, Ravi Ramamoorthi, Sebastian Enrique,...
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
ICASSP
2011
IEEE
12 years 11 months ago
Sparse decomposition of transformation-invariant signals with continuous basis pursuit
Consider the decomposition of a signal into features that undergo transformations drawn from a continuous family. Current methods discretely sample the transformations and apply s...
Chaitanya Ekanadham, Daniel Tranchina, Eero P. Sim...
RT
2004
Springer
14 years 1 months ago
An Irradiance Atlas for Global Illumination in Complex Production Scenes
We introduce a tiled 3D MIP map representation of global illumination data. The representation is an adaptive, sparse octree with a “brick” at each octree node; each brick con...
Per H. Christensen, Dana Batali