10 search results - page 1 / 2 » Supervised Probabilistic Robust Embedding with Sparse Noise |
AAAI
2012
11 years 7 months ago
2012
Many noise models do not faithfully reflect the noise processes introduced during data collection in many real-world applications. In particular, we argue that a type of noise re...
CORR
2011
Springer
12 years 11 months ago
2011
Springer
The Compressive Sensing (CS) framework aims to ease the burden on analog-to-digital converters (ADCs) by reducing the sampling rate required to acquire and stably recover sparse s...
ICML
2010
IEEE
13 years 5 months ago
2010
IEEE
Deep Belief Networks (DBNs) are hierarchical generative models which have been used successfully to model high dimensional visual data. However, they are not robust to common vari...
CVPR
2011
IEEE
13 years 4 days ago
2011
IEEE
Head pose estimation from images has recently attracted much attention in computer vision due to its diverse applications in face recognition, driver monitoring and human computer...
ICMLA
2007
13 years 6 months ago
2007
We develop an optical flow estimation framework that focuses on motion estimation over time formulated in a Dynamic Bayesian Network. It realizes a spatiotemporal integration of ...