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WWW
2004
ACM
14 years 6 months ago
Learning block importance models for web pages
Some previous works show that a web page can be partitioned to multiple segments or blocks, and usually the importance of those blocks in a page is not equivalent. Also, it is pro...
Ruihua Song, Haifeng Liu, Ji-Rong Wen, Wei-Ying Ma
ATAL
2005
Springer
13 years 10 months ago
Task inference and distributed task management in the Centibots robotic system
We describe a very large scale distributed robotic system, involving a team of over 100 robots, that has been successfully deployed in large, unknown indoor environments, over ext...
Charlie Ortiz, Régis Vincent, Benoit Moriss...
SIGIR
2010
ACM
13 years 9 months ago
Positional relevance model for pseudo-relevance feedback
Pseudo-relevance feedback is an effective technique for improving retrieval results. Traditional feedback algorithms use a whole feedback document as a unit to extract words for ...
Yuanhua Lv, ChengXiang Zhai
BMCBI
2006
202views more  BMCBI 2006»
13 years 5 months ago
Integrated biclustering of heterogeneous genome-wide datasets for the inference of global regulatory networks
Background: The learning of global genetic regulatory networks from expression data is a severely under-constrained problem that is aided by reducing the dimensionality of the sea...
David J. Reiss, Nitin S. Baliga, Richard Bonneau
ICIP
2010
IEEE
13 years 3 months ago
Building Emerging Pattern (EP) Random forest for recognition
The Random forest classifier comes to be the working horse for visual recognition community. It predicts the class label of an input data by aggregating the votes of multiple tree...
Liang Wang, Yizhou Wang, Debin Zhao