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» Dimensionality Reduction with Image Data
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CVPR
2007
IEEE
15 years 12 months ago
Biased Manifold Embedding: A Framework for Person-Independent Head Pose Estimation
The estimation of head pose angle from face images is an integral component of face recognition systems, human computer interfaces and other human-centered computing applications....
Vineeth Nallure Balasubramanian, Jieping Ye, Sethu...
ICIP
2000
IEEE
15 years 11 months ago
Reduction of Inherent Ambiguities in Structure from Motion Problem Using Inertial Data
In thispapel; the reduction of inherent ambiguities in StructurefromMotion(SW)using inertialdata isaddressed. First, we show that the translation-rotation ambiguity inS'from ...
Gang Qian, Qinfen Zheng, Rama Chellappa
ICIAP
2005
ACM
15 years 10 months ago
A Neural Adaptive Algorithm for Feature Selection and Classification of High Dimensionality Data
In this paper, we propose a novel method which involves neural adaptive techniques for identifying salient features and for classifying high dimensionality data. In particular a ne...
Elisabetta Binaghi, Ignazio Gallo, Mirco Boschetti...
MAMMO
2010
Springer
14 years 8 months ago
Classifying Breast Masses in Volumetric Whole Breast Ultrasound Data: A 2.5-Dimensional Approach
The aim of this paper is to investigate a 2.5-dimensional approach in classifying masses as benign or malignant in volumetric anisotropic voxel whole breast ultrasound data. In thi...
Gobert N. Lee, Toshiaki Okada, Daisuke Fukuoka, Ch...
NIPS
2004
14 years 11 months ago
Multiple Relational Embedding
We describe a way of using multiple different types of similarity relationship to learn a low-dimensional embedding of a dataset. Our method chooses different, possibly overlappin...
Roland Memisevic, Geoffrey E. Hinton