50 search results - page 3 / 10 » Learning Complex and Sparse Events in Long Sequences |
BMCBI
2008
13 years 7 months ago
2008
Background: Event sequences where different types of events often occur close together arise, e.g., when studying potential transcription factor binding sites (TFBS, events) of ce...
ICML
2009
IEEE
14 years 2 months ago
2009
IEEE
In real sequence labeling tasks, statistics of many higher order features are not sufficient due to the training data sparseness, very few of them are useful. We describe Sparse H...
ICIP
2003
IEEE
14 years 9 months ago
2003
IEEE
Knowledge-based fuzzy inference and neural learning are used in this paper in order to model the event recognition task in semantic video analysis. The advantage of their use is t...
ICDM
2009
IEEE
14 years 2 months ago
2009
IEEE
—Segmentation, the task of splitting a long sequence of discrete symbols into chunks, can provide important information about the nature of the sequence that is understandable to...
ICCV
2011
IEEE
12 years 7 months ago
2011
IEEE
Recognition of motions and activities of objects in videos requires effective representations for analysis and matching of motion trajectories. In this paper, we introduce a new r...