Sciweavers

505 search results - page 11 / 101
» Building text features for object image classification
Sort
View
MLDM
2007
Springer
14 years 1 months ago
PE-PUC: A Graph Based PU-Learning Approach for Text Classification
This paper presents a novel solution for the problem of building text classifier using positive documents (P) and unlabeled documents (U). Here, the unlabeled documents are mixed w...
Shuang Yu, Chunping Li
DOCENG
2007
ACM
13 years 11 months ago
Elimination of junk document surrogate candidates through pattern recognition
A surrogate is an object that stands for a document and enables navigation to that document. Hypermedia is often represented with textual surrogates, even though studies have show...
Eunyee Koh, Daniel Caruso, Andruid Kerne, Ricardo ...
ICCV
2005
IEEE
14 years 9 months ago
A Generative/Discriminative Learning Algorithm for Image Classification
We have developed a two-phase generative / discriminative learning procedure for the recognition of classes of objects and concepts in outdoor scenes. Our method uses both multipl...
Yi Li, Linda G. Shapiro, Jeff A. Bilmes
IJCAI
2003
13 years 9 months ago
Learning to Classify Texts Using Positive and Unlabeled Data
In traditional text classification, a classifier is built using labeled training documents of every class. This paper studies a different problem. Given a set P of documents of a ...
Xiaoli Li, Bing Liu
ICCV
2005
IEEE
14 years 9 months ago
The Pyramid Match Kernel: Discriminative Classification with Sets of Image Features
Discriminative learning is challenging when examples are sets of features, and the sets vary in cardinality and lack any sort of meaningful ordering. Kernel-based classification m...
Kristen Grauman, Trevor Darrell