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PAMI
2007
123views more  PAMI 2007»
15 years 3 months ago
Unsupervised Statistical Segmentation of Nonstationary Images Using Triplet Markov Fields
—Recent developments in statistical theory and associated computational techniques have opened new avenues for image modeling as well as for image segmentation techniques. Thus, ...
Dalila Benboudjema, Wojciech Pieczynski
129
Voted
KDD
2004
ACM
170views Data Mining» more  KDD 2004»
16 years 4 months ago
Why collective inference improves relational classification
Procedures for collective inference make simultaneous statistical judgments about the same variables for a set of related data instances. For example, collective inference could b...
David Jensen, Jennifer Neville, Brian Gallagher
133
Voted
KDD
2006
ACM
143views Data Mining» more  KDD 2006»
16 years 4 months ago
Mining long-term search history to improve search accuracy
Long-term search history contains rich information about a user's search preferences. In this paper, we study statistical language modeling based methods to mine contextual i...
Bin Tan, Xuehua Shen, ChengXiang Zhai
154
Voted
PAKDD
2005
ACM
160views Data Mining» more  PAKDD 2005»
15 years 9 months ago
Improving Mining Quality by Exploiting Data Dependency
The usefulness of the results produced by data mining methods can be critically impaired by several factors such as (1) low quality of data, including errors due to contamination, ...
Fang Chu, Yizhou Wang, Carlo Zaniolo, Douglas Stot...
149
Voted
INCDM
2010
Springer
204views Data Mining» more  INCDM 2010»
15 years 7 months ago
Combining Business Process and Data Discovery Techniques for Analyzing and Improving Integrated Care Pathways
Hospitals increasingly use process models for structuring their care processes. Activities performed to patients are logged to a database but these data are rarely used for managin...
Jonas Poelmans, Guido Dedene, Gerda Verheyden, Her...