558 search results - page 1 / 112 » Structural Modelling with Sparse Kernels |
102
click to vote
ML
2002
ACM
14 years 9 months ago
2002
ACM
A widely acknowledged drawback of many statistical modelling techniques, commonly used in machine learning, is that the resulting model is extremely difficult to interpret. A numb...
114
click to vote
CVPR
2010
IEEE
14 years 7 months ago
2010
IEEE
Pictorial structure (PS) models are extensively used for part-based recognition of scenes, people, animals and multi-part objects. To achieve tractability, the structure and param...
CVPR
2010
IEEE
15 years 6 months ago
2010
IEEE
Pictorial structure (PS) models are extensively used for part-based recognition of scenes, people, animals and multi-part objects. To achieve tractability, the structure and param...
100
click to vote
ICPP
2009
IEEE
15 years 4 months ago
2009
IEEE
—Sparse Matrix-Vector multiplication (SpMV) is a very challenging computational kernel, since its performance depends greatly on both the input matrix and the underlying architec...
ICML
2004
IEEE
15 years 10 months ago
2004
IEEE
Kernel conditional random fields (KCRFs) are introduced as a framework for discriminative modeling of graph-structured data. A representer theorem for conditional graphical models...