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» A Trainable Document Summarizer
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CIKM
2006
Springer
13 years 11 months ago
Summarizing local context to personalize global web search
The PC Desktop is a very rich repository of personal information, efficiently capturing user's interests. In this paper we propose a new approach towards an automatic persona...
Paul-Alexandru Chirita, Claudiu S. Firan, Wolfgang...
CORR
2012
Springer
183views Education» more  CORR 2012»
12 years 3 months ago
Learning Determinantal Point Processes
Determinantal point processes (DPPs), which arise in random matrix theory and quantum physics, are natural models for subset selection problems where diversity is preferred. Among...
Alex Kulesza, Ben Taskar
ICPR
2004
IEEE
14 years 8 months ago
Decoder Banks: Versatility, Automation, and High Accuracy without Supervised Training
A methodology using decoder banks is proposed for high-accuracy, fully automatic recognition of machine printed text across a wide range of challenging image qualities, without re...
Henry S. Baird, Prateek Sarkar
DGO
2006
148views Education» more  DGO 2006»
13 years 9 months ago
Automatically labeling hierarchical clusters
Government agencies must often quickly organize and analyze large amounts of textual information, for example comments received as part of notice and comment rulemaking. Hierarchi...
Pucktada Treeratpituk, Jamie Callan
EUROCAST
2009
Springer
116views Hardware» more  EUROCAST 2009»
13 years 11 months ago
Complete Sets of Hamiltonian Circuits for Classification of Documents
The calculation of Hamiltonian Circuits is an NP-complete task. This paper uses slightly modified complete sets of Hamiltonian circuits for the classification of documents. The sol...
Bernd Steinbach, Christian Posthoff