780 search results - page 72 / 156 » Learning Mid-Level Features For Recognition |
ACCV
2009
Springer
14 years 4 months ago
2009
Springer
The method based on local features has an advantage that the important local motion feature is represented as bag-of-features, but lacks the location information. Additionally, in ...
MLMI
2005
Springer
14 years 3 months ago
2005
Springer
We address the problem of segmentation and recognition of sequences of multimodal human interactions in meetings. These interactions can be seen as a rough structure of a meeting, ...
IRAL
2003
ACM
14 years 2 months ago
2003
ACM
Namedentityrecognition isimportantinsophisticatedinformation service system such as Question Answering and Text Mining since most of the answer type and text mining unit depend on...
PAKDD
2005
ACM
14 years 3 months ago
2005
ACM
We propose adaptive nonlinear auto-associative modeling (ANAM) based on Locally Linear Embedding algorithm (LLE) for learning intrinsic principal features of each concept separatel...
SSPR
1998
Springer
14 years 1 months ago
1998
Springer
Properly addressing the discretization process of continuos valued features is an important problem during decision tree learning. This paper describes four multi-interval discreti...