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» Sparse PCA: Extracting Multi-scale Structure from Data
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ICCV
2001
IEEE
14 years 6 months ago
Sparse PCA: Extracting Multi-scale Structure from Data
Chakra Chennubhotla, Allan D. Jepson
ICCV
2005
IEEE
14 years 6 months ago
A Multi-Scale Hybrid Linear Model for Lossy Image Representation
This paper introduces a simple and efficient representation for natural images. We partition an image into blocks and treat the blocks as vectors in a high-dimensional space. We t...
Wei Hong, John Wright, Kun Huang, Yi Ma
ICRA
2005
IEEE
102views Robotics» more  ICRA 2005»
13 years 10 months ago
SLAM using Incremental Probabilistic PCA and Dimensionality Reduction
— The recent progress in robot mapping (or SLAM) algorithms has focused on estimating either point features (such as landmarks) or grid-based representations. Both of these repre...
Emma Brunskill, Nicholas Roy
MLDM
2009
Springer
13 years 11 months ago
Regional Pattern Discovery in Geo-referenced Datasets Using PCA
Existing data mining techniques mostly focus on finding global patterns and lack the ability to systematically discover regional patterns. Most relationships in spatial datasets ar...
Oner Ulvi Celepcikay, Christoph F. Eick, Carlos Or...
IPMI
2007
Springer
14 years 5 months ago
Liver Segmentation Using Sparse 3D Prior Models with Optimal Data Support
Abstract. Volume segmentation is a relatively slow process and, in certain circumstances, the enormous amount of prior knowledge available is underused. Model-based liver segmentat...
Charles Florin, Nikos Paragios, Gareth Funka-Lea, ...