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ICCV
2005
IEEE
16 years 9 months ago
Globally Optimal Estimates for Geometric Reconstruction Problems
We introduce a framework for computing statistically optimal estimates of geometric reconstruction problems. While traditional algorithms often suffer from either local minima or ...
Fredrik Kahl, Didier Henrion
SIGMOD
2007
ACM
150views Database» more  SIGMOD 2007»
16 years 7 months ago
Exploiting self-monitoring sample views for cardinality estimation
Good cardinality estimates are critical for generating good execution plans during query optimization. Complex predicates, correlations between columns, and user-defined functions...
Jingren Zhou, Per-Åke Larson, Peter Zabback,...
DAC
1997
ACM
15 years 11 months ago
Architectural Exploration Using Verilog-Based Power Estimation: A Case Study of the IDCT
We describe an architectural design space exploration methodology that minimizes the energy dissipation of digital circuits. The centerpiece of our methodology is a Verilog-based ...
Thucydides Xanthopoulos, Yoshifumi Yaoi, Anantha C...
NIPS
2004
15 years 8 months ago
Active Learning for Anomaly and Rare-Category Detection
We introduce a novel active-learning scenario in which a user wants to work with a learning algorithm to identify useful anomalies. These are distinguished from the traditional st...
Dan Pelleg, Andrew W. Moore
NPL
2006
113views more  NPL 2006»
15 years 7 months ago
A Back-propagation Neural Network Landmine Detector Using the Delta-technique and S-statistic
Landmines are a major problem facing the world today; there are millions of these deadly weapons still buried in various countries around the world. Humanitarian organizations dedi...
Taskin Koçak, Matthew Draper