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DEBU
2000
118views more  DEBU 2000»
14 years 9 months ago
Matching Algorithms within a Duplicate Detection System
Detecting database records that are approximate duplicates, but not exact duplicates, is an important task. Databases may contain duplicate records concerning the same real-world ...
Alvaro E. Monge
CVPR
2005
IEEE
16 years 16 hour ago
WaldBoost - Learning for Time Constrained Sequential Detection
: In many computer vision classification problems, both the error and time characterizes the quality of a decision. We show that such problems can be formalized in the framework of...
Jan Sochman, Jiri Matas
SBIA
2004
Springer
15 years 3 months ago
Learning with Drift Detection
Abstract. Most of the work in machine learning assume that examples are generated at random according to some stationary probability distribution. In this work we study the problem...
João Gama, Pedro Medas, Gladys Castillo, Pe...
VLSID
2003
IEEE
82views VLSI» more  VLSID 2003»
15 years 10 months ago
SPaRe: Selective Partial Replication for Concurrent Fault Detection in FSMs
We propose a non-intrusive methodology for concurrent fault detection in FSMs. The proposed method is similar to duplication, wherein a replica of the circuit acts as a predictor ...
Petros Drineas, Yiorgos Makris
ISQED
2003
IEEE
134views Hardware» more  ISQED 2003»
15 years 3 months ago
Concurrent Fault Detection in Random Combinational Logic
We discuss a non-intrusive methodology for concurrent fault detection in random combinational logic. The proposed method is similar to duplication, wherein a replica of the circui...
Petros Drineas, Yiorgos Makris