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» A clustering method that uses lossy aggregation of data
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WWW
2011
ACM
13 years 2 months ago
Parallel boosted regression trees for web search ranking
Gradient Boosted Regression Trees (GBRT) are the current state-of-the-art learning paradigm for machine learned websearch ranking — a domain notorious for very large data sets. ...
Stephen Tyree, Kilian Q. Weinberger, Kunal Agrawal...
HT
2003
ACM
14 years 1 months ago
The connectivity sonar: detecting site functionality by structural patterns
Web sites today serve many different functions, such as corporate sites, search engines, e-stores, and so forth. As sites are created for different purposes, their structure and...
Einat Amitay, David Carmel, Adam Darlow, Ronny Lem...
AUSAI
2003
Springer
14 years 29 days ago
Semi-Automatic Construction of Metadata from a Series of Web Documents
Metadata plays an important role in discovering, collecting, extracting and aggregating Web data. This paper proposes a method of constructing metadata for a specific topic. The m...
Sachio Hirokawa, Eisuke Itoh, Tetsuhiro Miyahara
ICCV
2007
IEEE
14 years 9 months ago
Temporal Segmentation of Facial Behavior
Temporal segmentation of facial gestures in spontaneous facial behavior recorded in real-world settings is an important, unsolved, and relatively unexplored problem in facial imag...
Fernando De la Torre, Joan Campoy, Zara Ambadar, J...
SI3D
2006
ACM
14 years 1 months ago
Human motion estimation from a reduced marker set
Motion capture data from human subjects exhibits considerable redundancy. In this paper, we propose novel methods for exploiting this redundancy. In particular, we set out to find...
Guodong Liu, Jingdan Zhang, Wei Wang 0010, Leonard...