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» Methods for Dynamic Classifier Selection
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CVPR
2005
IEEE
14 years 9 months ago
WaldBoost - Learning for Time Constrained Sequential Detection
: In many computer vision classification problems, both the error and time characterizes the quality of a decision. We show that such problems can be formalized in the framework of...
Jan Sochman, Jiri Matas
KDD
2009
ACM
230views Data Mining» more  KDD 2009»
14 years 8 months ago
Cross domain distribution adaptation via kernel mapping
When labeled examples are limited and difficult to obtain, transfer learning employs knowledge from a source domain to improve learning accuracy in the target domain. However, the...
ErHeng Zhong, Wei Fan, Jing Peng, Kun Zhang, Jiang...
KDD
2006
ACM
179views Data Mining» more  KDD 2006»
14 years 8 months ago
Extracting key-substring-group features for text classification
In many text classification applications, it is appealing to take every document as a string of characters rather than a bag of words. Previous research studies in this area mostl...
Dell Zhang, Wee Sun Lee
VLDB
2007
ACM
141views Database» more  VLDB 2007»
14 years 8 months ago
Query Processing over Incomplete Autonomous Databases
Incompleteness due to missing attribute values (aka "null values") is very common in autonomous web databases, on which user accesses are usually supported through media...
Garrett Wolf, Hemal Khatri, Bhaumik Chokshi, Jianc...
APSCC
2008
IEEE
14 years 2 months ago
Integration and Implementation of Secured IP Based Surveillance Networks
— This paper presents a method of integration and implementation of transmitting video and audio data from multiple Internet Protocol (IP) surveillance cameras in a wireless sens...
Charles C. Castello, Jeffrey Fan, Te-Shun Chou, Ho...