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AUSDM
2007
Springer
107views Data Mining» more  AUSDM 2007»
15 years 10 months ago
Preference Networks: Probabilistic Models for Recommendation Systems
Recommender systems are important to help users select relevant and personalised information over massive amounts of data available. We propose an unified framework called Prefer...
Tran The Truyen, Dinh Q. Phung, Svetha Venkatesh
PUC
2010
205views more  PUC 2010»
14 years 10 months ago
A database-based framework for gesture recognition
Abstract Gestures are an important modality for human-machine communication. Computer vision modules performing gesture recognition can be important components of intelligent homes...
Vassilis Athitsos, Haijing Wang, Alexandra Stefan
ICDE
2012
IEEE
202views Database» more  ICDE 2012»
13 years 6 months ago
Recomputing Materialized Instances after Changes to Mappings and Data
—A major challenge faced by today’s information systems is that of evolution as data usage evolves or new data resources become available. Modern organizations sometimes exchan...
Todd J. Green, Zachary G. Ives
ICDE
2012
IEEE
267views Database» more  ICDE 2012»
13 years 6 months ago
Scalable and Numerically Stable Descriptive Statistics in SystemML
—With the exponential growth in the amount of data that is being generated in recent years, there is a pressing need for applying machine learning algorithms to large data sets. ...
Yuanyuan Tian, Shirish Tatikonda, Berthold Reinwal...
125
Voted
EDBT
2009
ACM
124views Database» more  EDBT 2009»
15 years 10 months ago
A sequential indexing scheme for flash-based embedded systems
NAND Flash has become the most popular stable storage medium for embedded systems. As on-board storage capacity increases, the need for efficient indexing techniques arises. Such ...
Shaoyi Yin, Philippe Pucheral, Xiaofeng Meng