730 search results - page 85 / 146 » Faster dimension reduction |
ICASSP
2011
IEEE
13 years 16 days ago
2011
IEEE
The Restricted Isometry Property (RIP) is an important concept in compressed sensing. It is well known that many random matrices satisfy the RIP with high probability, whenever th...
ICASSP
2011
IEEE
13 years 16 days ago
2011
IEEE
We present a polytope-kernel density estimation (PKDE) methodology that allows us to perform exact mean-shift updates along the edges of the Delaunay graph of the data. We discuss...
AI
2011
Springer
13 years 13 days ago
2011
Springer
Abstract. Subspace mapping methods aim at projecting high-dimensional data into a subspace where a specific objective function is optimized. Such dimension reduction allows the re...
CVPR
2009
IEEE
15 years 4 months ago
2009
IEEE
Local image descriptors that are highly discriminative,
computational efficient, and with low storage footprint have
long been a dream goal of computer vision research. In this
...
ICML
2006
IEEE
14 years 9 months ago
2006
IEEE
Dimensionality reduction is an important pre-processing step for many applications. Linear Discriminant Analysis (LDA) is one of the well known methods for supervised dimensionali...