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» Diffeomorphic Dimensionality Reduction
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ICCV
2007
IEEE
16 years 1 months ago
Improving Descriptors for Fast Tree Matching by Optimal Linear Projection
In this paper we propose to transform an image descriptor so that nearest neighbor (NN) search for correspondences becomes the optimal matching strategy under the assumption that ...
Krystian Mikolajczyk, Jiri Matas
ICCV
2007
IEEE
16 years 1 months ago
Shape Reconstruction Based on Similarity in Radiance Changes under Varying Illumination
This paper presents a technique for determining an object's shape based on the similarity of radiance changes observed at points on its surface under varying illumination. To...
Imari Sato, Takahiro Okabe, Qiong Yu, Yoichi Sato
99
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ICCV
2003
IEEE
16 years 1 months ago
Images as Bags of Pixels
We propose modeling images and related visual objects as bags of pixels or sets of vectors. For instance, gray scale images are modeled as a collection or bag of (X, Y, I) pixel v...
Tony Jebara
ECCV
2002
Springer
16 years 1 months ago
Principal Component Analysis over Continuous Subspaces and Intersection of Half-Spaces
Abstract. Principal Component Analysis (PCA) is one of the most popular techniques for dimensionality reduction of multivariate data points with application areas covering many bra...
Anat Levin, Amnon Shashua
ICIP
2004
IEEE
16 years 1 months ago
Estimation of mixtures of probabilistic pca with stochastic em for the 3d biplanar reconstruction of scoliotic rib cage
In this paper, we present a robust method for estimating the model parameters in a mixture of probabilistic principal component analyzers. This method is based on the Stochastic v...
François Destrempes, Jacques A. de Guise, M...