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» Understanding Common Priors under Incomplete Information
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ECIR
2008
Springer
13 years 9 months ago
Workshop on Novel Methodologies for Evaluation in Information Retrieval
Information retrieval is an empirical science; the field cannot move forward unless there are means of evaluating the innovations devised by researchers. However the methodologies...
Mark Sanderson, Martin Braschler, Nicola Ferro, Ju...
SIGMOD
2011
ACM
241views Database» more  SIGMOD 2011»
12 years 10 months ago
Neighborhood based fast graph search in large networks
Complex social and information network search becomes important with a variety of applications. In the core of these applications, lies a common and critical problem: Given a labe...
Arijit Khan, Nan Li, Xifeng Yan, Ziyu Guan, Supriy...
ICPR
2008
IEEE
14 years 2 months ago
A Bayesian Local Binary Pattern texture descriptor
In this paper, a Bayesian LBP operator is proposed. This operator is formulated in a novel Filtering, Labeling and Statistic (FLS) framework for texture descriptors. In the framew...
Chu He, Timo Ahonen, Matti Pietikäinen
ICPR
2008
IEEE
14 years 9 months ago
Active query selection for semi-supervised clustering
Semi-supervised clustering allows a user to specify available prior knowledge about the data to improve the clustering performance. A common way to express this information is in ...
Anil K. Jain, Pavan Kumar Mallapragada, Rong Jin
ICMCS
1999
IEEE
95views Multimedia» more  ICMCS 1999»
14 years 2 days ago
Audio Data Indexing: Use of Second-Order Statistics for Speaker-Based Segmentation
The content-based indexing task considered in this paper consists in recognizing from their voice, speakers involved in a conversation. A new approach for speaker-based segmentati...
Perrine Delacourt, Christian Wellekens