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PAMI
2010
113views more  PAMI 2010»
15 years 1 months ago
Hierarchical Bayesian Modeling of Topics in Time-Stamped Documents
—We consider the problem of inferring and modeling topics in a sequence of documents with known publication dates. The documents at a given time are each characterized by a topic...
Iulian Pruteanu-Malinici, Lu Ren, John William Pai...
181
Voted
VL
2010
IEEE
218views Visual Languages» more  VL 2010»
15 years 1 months ago
Using Association Metrics to Help Users Navigate API Documentation
-- In the past decade there has been spectacular growth in the number and size of third-party libraries, frameworks, toolkits and other Application Programming Interfaces (APIs) av...
Daniel S. Eisenberg, Jeffrey Stylos, Andrew Faulri...
143
Voted
SIGIR
2011
ACM
14 years 5 months ago
The interactive PRP for diversifying document rankings
The assumptions underlying the Probability Ranking Principle (PRP) have led to a number of alternative approaches that cater or compensate for the PRP’s limitations. In this pos...
Guido Zuccon, Leif Azzopardi, C. J. van Rijsbergen
100
Voted
ICPR
2002
IEEE
16 years 3 months ago
Adaptive Stack Algorithm in Document Image Decoding
The Stack algorithm, which is a best-first search algorithm widely used in speech recognition, is modified for application to the problem of recognizing machine printed text in th...
Kris Popat, Daniel H. Greene, Tze-Lei Poo
123
Voted
KDD
2009
ACM
169views Data Mining» more  KDD 2009»
15 years 9 months ago
On burstiness-aware search for document sequences
As the number and size of large timestamped collections (e.g. sequences of digitized newspapers, periodicals, blogs) increase, the problem of efficiently indexing and searching su...
Theodoros Lappas, Benjamin Arai, Manolis Platakis,...