1956 search results - page 124 / 392 » Learning the Relative Importance of Features in Image Data |
148
Voted
3DIM
2007
IEEE
15 years 7 months ago
2007
IEEE
We use the AdaBoost algorithm to classify 3D aerial lidar scattered height data into four categories: road, grass, buildings, and trees. To do so we use five features: height, hei...
107
Voted
ICPR
2010
IEEE
15 years 2 months ago
2010
IEEE
Documents in many corpora, such as digital libraries and webpages, contain both content and link information. In a traditional topic model which plays an important role in the uns...
145
Voted
CVPR
2000
IEEE
16 years 5 months ago
2000
IEEE
In Proc. of IEEE Conf. on CVPR'2000, Vol.I, pp.222-227, Hilton Head Island, SC, 2000 In many vision applications, the practice of supervised learning faces several difficulti...
131
Voted
ITNG
2006
IEEE
15 years 9 months ago
2006
IEEE
In this paper, still images are modeled by hierarchical tree structures and object relational graphs. These modeling concepts can be described naturally using XML schema. We intro...
153
Voted
ILP
2007
Springer
15 years 9 months ago
2007
Springer
In this chapter, we describe a view of statistical learning in the inductive logic programming setting based on kernel methods. The relational representation of data and background...