36 search results - page 7 / 8 » Learning Fast Approximations of Sparse Coding |
SDM
2008
SIAM
15 years 1 months ago
2008
SIAM
This paper presents a stagewise least square (SLS) loss function for classification. It uses a least square form within each stage to approximate a bounded monotonic nonconvex los...
ICML
2004
IEEE
16 years 13 days ago
2004
IEEE
In many real-world classification problems the input contains a large number of potentially irrelevant features. This paper proposes a new Bayesian framework for determining the r...
106
click to vote
ECCV
2008
Springer
16 years 1 months ago
2008
Springer
Abstract. Compressive sensing (CS) is an emerging field that provides a framework for image recovery using sub-Nyquist sampling rates. The CS theory shows that a signal can be reco...
100
click to vote
CVPR
2007
IEEE
16 years 1 months ago
2007
IEEE
Kernel machines have recently been considered as a promising solution for implicit surface modelling. A key challenge of machine learning solutions is how to fit implicit shape mo...
107
click to vote
EDUTAINMENT
2007
Springer
15 years 3 months ago
2007
Springer
High compression of plant geometry is an important aspect in fast realistic visualization of plants. Hierarchical structuring plant morphology is a key factor for real time plant r...