1956 search results - page 186 / 392 » Learning the Relative Importance of Features in Image Data |
119
click to vote
SSPR
2004
Springer
15 years 9 months ago
2004
Springer
Kernel Methods are a class of algorithms for pattern analysis with a number of convenient features. They can deal in a uniform way with a multitude of data types and can be used to...
141
click to vote
ICRA
2009
IEEE
15 years 1 months ago
2009
IEEE
This paper presents a method for accurately segmenting and classifying 3D range data into particular object classes. Object classification of input images is necessary for applicat...
118
click to vote
ECML
1997
Springer
15 years 8 months ago
1997
Springer
We investigate an inherent limitation of top-down decision tree induction in which the continuous partitioning of the instance space progressively lessens the statistical support o...
144
click to vote
ICPR
2006
IEEE
16 years 5 months ago
2006
IEEE
General dissimilarity-based learning approaches have been proposed for dissimilarity data sets [11, 10]. They arise in problems in which direct comparisons of objects are made, e....
141
click to vote
TNN
2008
15 years 4 months ago
2008
This paper proposes an incremental multiple-object recognition and localization (IMORL) method. The objective of IMORL is to adaptively learn multiple interesting objects in an ima...