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ECCV
2008
Springer
16 years 8 months ago
Learning Optical Flow
Assumptions of brightness constancy and spatial smoothness underlie most optical flow estimation methods. In contrast to standard heuristic formulations, we learn a statistical mod...
Deqing Sun, Stefan Roth, J. P. Lewis, Michael J. B...
ICDE
2009
IEEE
140views Database» more  ICDE 2009»
16 years 8 months ago
Predicting Multiple Metrics for Queries: Better Decisions Enabled by Machine Learning
One of the most challenging aspects of managing a very large data warehouse is identifying how queries will behave before they start executing. Yet knowing their performance charac...
Archana Ganapathi, Harumi A. Kuno, Umeshwar Dayal,...
ICDE
2005
IEEE
122views Database» more  ICDE 2005»
16 years 7 months ago
Uncovering Database Access Optimizations in the Middle Tier with TORPEDO
A popular architecture for enterprise applications is one of a stateless object-based server accessing persistent data through Object-Relational mapping software. The reported ben...
Bruce E. Martin
ICML
2005
IEEE
16 years 7 months ago
Combining model-based and instance-based learning for first order regression
T ORDER REGRESSION (EXTENDED ABSTRACT) Kurt Driessensa Saso Dzeroskib a Department of Computer Science, University of Waikato, Hamilton, New Zealand (kurtd@waikato.ac.nz) b Departm...
Kurt Driessens, Saso Dzeroski
WWW
2005
ACM
16 years 7 months ago
Hierarchical substring caching for efficient content distribution to low-bandwidth clients
While overall bandwidth in the internet has grown rapidly over the last few years, and an increasing number of clients enjoy broadband connectivity, many others still access the i...
Utku Irmak, Torsten Suel