174 search results - page 10 / 35 » A Conditional Random Field for Multiple-Instance Learning |
159
Voted
ICIP
2010
IEEE
15 years 3 months ago
2010
IEEE
In this paper, we present a fast approach to obtain semantic scene segmentation with high precision. We employ a two-stage classifier to label all image pixels. First, we use the ...
172
Voted
IJRR
2007
15 years 5 months ago
2007
Learning patterns of human behavior from sensor data is extremely important for high-level activity inference. We show how to extract a person’s activities and significant plac...
161
click to vote
IDEAL
2010
Springer
15 years 4 months ago
2010
Springer
Intrusion detection in computer networks faces the problem of a large number of both false alarms and unrecognized attacks. To improve the precision of detection, various machine l...
175
Voted
ATAL
2007
Springer
16 years 3 hour ago
2007
Springer
Activity recognition is a key component for creating intelligent, multi-agent systems. Intrinsically, activity recognition is a temporal classification problem. In this paper, we...
166
Voted
ICCPOL
2009
Springer
15 years 3 months ago
2009
Springer
Conditional random fields (CRFs) have been quite successful in various machine learning tasks. However, as larger and larger data become acceptable for the current computational ma...