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» A new approach to edge detection
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ICIP
2003
IEEE
16 years 1 months ago
Robust line detection using a weighted MSE estimator
In this paper we introduce a novel line detection algorithm based on a weighted minimum mean square error (MSE) formulation. This algorithm has been developed to enable an autonom...
Guido M. Schuster, Aggelos K. Katsaggelos
CDES
2006
101views Hardware» more  CDES 2006»
15 years 1 months ago
Hybrid Error-Detection Approach with No Detection Latency for High-Performance Microprocessors
- Error detection plays an important role in fault-tolerant computer systems. Two primary parameters concerned for error detection are the latency and coverage. In this paper, a ne...
Yung-Yuan Chen, Kuen-Long Leu, Li-Wen Lin
APVIS
2011
13 years 11 months ago
Edge maps: Representing flow with bounded error
Robust analysis of vector fields has been established as an important tool for deriving insights from the complex systems these fields model. Many analysis techniques rely on co...
Harsh Bhatia, Shreeraj Jadhav, Peer-Timo Bremer, G...
ACCV
2009
Springer
15 years 3 months ago
A Harris-Like Scale Invariant Feature Detector
Image feature detection is a fundamental issue in computer vision. SIFT[1] and SURF[2] are very effective in scale-space feature detection, but their stabilities are not good enou...
Yinan Yu, Kaiqi Huang, Tieniu Tan
ICPR
2010
IEEE
15 years 5 months ago
A Meta-Learning Approach to Conditional Random Fields Using Error-Correcting Output Codes
—We present a meta-learning framework for the design of potential functions for Conditional Random Fields. The design of both node potential and edge potential is formulated as a...
Francesco Ciompi, Oriol Pujol, Petia Radeva