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» Hierarchical Hidden Markov Models for Information Extraction
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KDD
2007
ACM
168views Data Mining» more  KDD 2007»
16 years 1 days ago
A probabilistic framework for relational clustering
Relational clustering has attracted more and more attention due to its phenomenal impact in various important applications which involve multi-type interrelated data objects, such...
Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu
JCDL
2006
ACM
151views Education» more  JCDL 2006»
15 years 5 months ago
Tagging of name records for genealogical data browsing
In this paper we present a method of parsing unstructured textual records briefly describing a person and their direct relatives, which we use in the construction of a browsing t...
Mike Perrow, David Barber
JCS
2010
135views more  JCS 2010»
14 years 10 months ago
New filtering approaches for phishing email
Phishing emails usually contain a message from a credible looking source requesting a user to click a link to a website where she/he is asked to enter a password or other confide...
André Bergholz, Jan De Beer, Sebastian Glah...
LCTRTS
2010
Springer
15 years 6 months ago
Modeling structured event streams in system level performance analysis
This paper extends the methodology of analytic real-time analysis of distributed embedded systems towards merging and extracting sub-streams based on event type information. For e...
Simon Perathoner, Tobias Rein, Lothar Thiele, Kai ...
AAAI
2007
15 years 2 months ago
Turning Lectures into Comic Books Using Linguistically Salient Gestures
Creating video recordings of events such as lectures or meetings is increasingly inexpensive and easy. However, reviewing the content of such video may be time-consuming and dif...
Jacob Eisenstein, Regina Barzilay, Randall Davis