963 search results - page 61 / 193 » Active Learning by Labeling Features |
142
Voted
ICIP
2007
IEEE
15 years 9 months ago
2007
IEEE
In this paper, we propose a system identification approach for group activity recognition in traffic surveillance. Statistical shape theory is used to extract features, and then...
142
Voted
EVOW
2006
Springer
15 years 6 months ago
2006
Springer
Abstract. Computational analysis of mass spectrometric (MS) proteomic data from sera is of potential relevance for diagnosis, prognosis, choice of therapy, and study of disease act...
134
Voted
AAAI
2004
15 years 4 months ago
2004
Traditionally, text classifiers are built from labeled training examples. Labeling is usually done manually by human experts (or the users), which is a labor intensive and time co...
124
Voted
ICML
2007
IEEE
16 years 3 months ago
2007
IEEE
We present a new machine learning framework called "self-taught learning" for using unlabeled data in supervised classification tasks. We do not assume that the unlabele...
127
Voted
IJCV
2008
15 years 2 months ago
2008
Object identification (OID) is specialized recognition where the category is known (e.g. cars) and the algorithm recognizes an object's exact identity (e.g. Bob's BMW). ...