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WDAG
1995
Springer
109views Algorithms» more  WDAG 1995»
13 years 9 months ago
Faster Possibility Detection by Combining Two Approaches
Abstract. A new algorithm is presented for detecting whether a particular computation of an asynchronous distributed system satisfies Poss Φ (read “possibly Φ”), meaning the...
Scott D. Stoller, Fred B. Schneider
DAS
2006
Springer
13 years 9 months ago
Combining Multiple Classifiers for Faster Optical Character Recognition
Traditional approaches to combining classifiers attempt to improve classification accuracy at the cost of increased processing. They may be viewed as providing an accuracy-speed tr...
Kumar Chellapilla, Michael Shilman, Patrice Simard
ICPR
2004
IEEE
14 years 6 months ago
Two-Stage Classification System combining Model-Based and Discriminative Approaches
For the tasks of classification, two types of patterns can generate problems: ambiguous patterns and outliers. Furthermore, it is possible to separate classification algorithms in...
Jonathan Milgram, Mohamed Cheriet, Robert Sabourin
CORR
2008
Springer
193views Education» more  CORR 2008»
13 years 5 months ago
Faster and better: a machine learning approach to corner detection
The repeatability and efficiency of a corner detector determines how likely it is to be useful in a real-world application. The repeatability is importand because the same scene vi...
Edward Rosten, Reid Porter, Tom Drummond
PCM
2005
Springer
106views Multimedia» more  PCM 2005»
13 years 11 months ago
Automated Detection of Tumors in Mammograms Using Two Segments for Classification
A spread pattern of a tumor in medical images is an important factor for classification of the tumor. The spread pattern is generally not considered when we use only one segment fo...
Mahmoud R. Hejazi, Yo-Sung Ho