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NIPS
1998
15 years 4 months ago
Approximate Learning of Dynamic Models
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
Xavier Boyen, Daphne Koller
EVOW
2006
Springer
15 years 6 months ago
Mining Structural Databases: An Evolutionary Multi-Objetive Conceptual Clustering Methodology
Abstract. The increased availability of biological databases containing representations of complex objects permits access to vast amounts of data. In spite of the recent renewed in...
Rocío Romero-Záliz, Cristina Rubio-E...
199
Voted
VLDB
2009
ACM
130views Database» more  VLDB 2009»
16 years 3 months ago
Multi-dimensional top-k dominating queries
Abstract The top-k dominating query returns k data objects which dominate the highest number of objects in a dataset. This query is an important tool for decision support since it ...
Man Lung Yiu, Nikos Mamoulis
ICDAR
2009
IEEE
15 years 29 days ago
Form Field Frame Boundary Removal for Form Processing System in Gurmukhi Script
Machine recognition of hand-filled forms is a challenging task. Form processing involves many activities including form field location, field frame boundary removal and data image...
Dharam Veer Sharma, Gurpreet Singh Lehal
207
Voted
VLDB
2005
ACM
125views Database» more  VLDB 2005»
16 years 3 months ago
Sync your data: update propagation for heterogeneous protein databases
The traditional model of bench (wet) chemistry in many life sciences domain is today actively complimented by computer-based discoveries utilizing the growing number of online data...
Kajal T. Claypool, Elke A. Rundensteiner