Sciweavers

910 search results - page 69 / 182
» Progressive Principal Component Analysis
Sort
View
NIPS
1998
13 years 9 months ago
Learning a Continuous Hidden Variable Model for Binary Data
A directed generative model for binary data using a small number of hidden continuous units is investigated. A clipping nonlinearity distinguishes the model from conventional prin...
Daniel D. Lee, Haim Sompolinsky
MVA
2002
116views Computer Vision» more  MVA 2002»
13 years 7 months ago
Contour Extraction in Medical Images Using B-Snake Model
In this paper, a close-form B-snake model is presented for contour extraction in medical images. Based on our previous research work [lo], the Principal Component Analysis (PCA) h...
Yue Wang, Eam Khwang Teoh
AMSTERDAM
2009
13 years 5 months ago
Natural Color Categories Are Convex Sets
The paper presents a statistical evaluation of the typological data about color naming systems across the languages of the world that have been obtained by the World Color Survey....
Gerhard Jäger
ORL
2011
13 years 2 months ago
Convex approximations to sparse PCA via Lagrangian duality
We derive a convex relaxation for cardinality constrained Principal Component Analysis (PCA) by using a simple representation of the L1 unit ball and standard Lagrangian duality. ...
Ronny Luss, Marc Teboulle
APGV
2010
ACM
238views Visualization» more  APGV 2010»
13 years 8 months ago
A morphing-based analysis of the perceptual distance metric of human faces
This paper presents a psychophysical analysis of the discrimination thresholds of human faces that are varied along different directions in Face Space. Generated by a 3D Morphable...
Nadine Gummersbach, Volker Blanz