166 search results - page 3 / 34 » A Random Field Model for Improved Feature Extraction and Tra... |
CVPR
2008
IEEE
14 years 7 months ago
2008
IEEE
The observation models in tracking algorithms are critical to both tracking performance and applicable scenarios but are often simplified to focus on fixed level of certain target...
SIGIR
2009
ACM
13 years 11 months ago
2009
ACM
Recent work in supervised learning of term-based retrieval models has shown significantly improved accuracy can often be achieved via better model estimation [2, 10, 11, 17]. In ...
ICDAR
2009
IEEE
13 years 3 months ago
2009
IEEE
The paper describes a new approach using a Conditional Random Fields (CRFs) to extract physical and logical layouts in unconstrained handwritten letters such as those sent by indi...
IJRR
2007
13 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...
SIGIR
2003
ACM
13 years 10 months ago
2003
ACM
The ability to find tables and extract information from them is a necessary component of data mining, question answering, and other information retrieval tasks. Documents often c...