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AAAI
2012
7 years 1 months ago
Sparse Probabilistic Relational Projection
Probabilistic relational PCA (PRPCA) can learn a projection matrix to perform dimensionality reduction for relational data. However, the results learned by PRPCA lack interpretabi...
Wu-Jun Li, Dit-Yan Yeung
HCI
2009
8 years 9 months ago
Complemental Use of Multiple Cameras for Stable Tracking of Multiple Markers
Abstract. In many applications of Augmented Reality (AR), rectangular markers are tracked in real time by capturing with cameras. In this paper, we consider the AR application in w...
Yuki Arai, Hideo Saito
PR
2006
108views more  PR 2006»
8 years 11 months ago
Boosted discriminant projections for nearest neighbor classification
In this paper we introduce a new embedding technique to find the linear projection that best projects labeled data samples into a new space where the performance of a Nearest Neig...
David Masip, Jordi Vitrià
CVPR
2008
IEEE
8 years 11 months ago
Robust learning of discriminative projection for multicategory classification on the Stiefel manifold
Learning a robust projection with a small number of training samples is still a challenging problem in face recognition, especially when the unseen faces have extreme variation in...
Duc-Son Pham, Svetha Venkatesh
ACISICIS
2008
IEEE
9 years 1 months ago
Efficient Projection for Compressed Sensing
Compressed sensing (CS), a joint compression and sensing process, is a emerging field of activity in which the signal is sampled and simultaneously compressed at a greatly reduced...
Vo Dinh Minh Nhat, Duc Vo, Subhash Challa, Sungyou...
CCECE
2006
IEEE
9 years 2 months ago
Variable Step-Size Affine Projection Algorithm with a Weighted and Regularized Projection Matrix
This paper presents a forgetting factor scheme for variable step-size affine projection algorithms (APA). The proposed scheme uses a forgetting processed input matrix as the projec...
Tao Dai, Andy Adler, Behnam Shahrrava
ICASSP
2008
IEEE
9 years 5 months ago
Model-based sparsity projection pursuit for lattice vector quantization
In this work we present an ef´Čücient coding scheme suitable for lossy image compression using a lattice vector quantizer (LVQ) based on statistically independent data projections...
Leonardo H. Fonteles, Marc Antonini, Ronald Phlypo
CVPR
2005
IEEE
10 years 1 months ago
On the Absolute Quadratic Complex and Its Application to Autocalibration
This article introduces the absolute quadratic complex formed by all lines that intersect the absolute conic. If denotes the 3 ? 3 symmetric matrix representing the image of that ...
Jean Ponce, Kenton McHenry, Théodore Papado...
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