1547 search results - page 34 / 310 » Learning a Classification Model for Segmentation |
112
Voted
GECCO
2006
Springer
15 years 5 months ago
2006
Springer
We describe a Markov chain Bayesian classification tool, SCS, that can perform data-driven classification of proteins and protein segments. Training data for interesting classific...
106
Voted
ICML
2005
IEEE
16 years 3 months ago
2005
IEEE
The integration of diverse forms of informative data by learning an optimal combination of base kernels in classification or regression problems can provide enhanced performance w...
104
Voted
ICPR
2002
IEEE
15 years 7 months ago
2002
IEEE
We propose a region-based method for model-free object tracking. In our method the object information of temporal motion and spatial luminance are fully utilized. We first compute...
134
Voted
JMLR
2002
15 years 1 months ago
2002
We present some greedy learning algorithms for building sparse nonlinear regression and classification models from observational data using Mercer kernels. Our objective is to dev...
138
Voted
AIRS
2006
Springer
15 years 6 months ago
2006
Springer
Many text documents naturally have two kinds of labels. For example, we may label web pages from universities according to their categories, such as "student" or "fa...