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» Computationally Efficient Transductive Machines
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ICPR
2002
IEEE
14 years 10 months ago
Combining SVM Classifiers for Handwritten Digit Recognition
In this paper, we investigate the advantages and weaknesses of various decision fusion schemes using statistical and rule-based reasoning. The cooperation schemes are applied on t...
Dejan Gorgevik, Dusan Cakmakov
MICCAI
2004
Springer
14 years 10 months ago
Cervical Cancer Detection Using SVM Based Feature Screening
We present a novel feature screening algorithm by deriving relevance measures from the decision boundary of Support Vector Machines. It alleviates the "independence" assu...
Jiayong Zhang, Yanxi Liu
HPCA
2004
IEEE
14 years 9 months ago
Creating Converged Trace Schedules Using String Matching
This paper focuses on generating efficient software pipelined schedules for in-order machines, which we call Converged Trace Schedules. For a candidate loop, we form a string of t...
Satish Narayanasamy, Yuanfang Hu, Suleyman Sair, B...
ICALP
2009
Springer
14 years 9 months ago
B-Treaps: A Uniquely Represented Alternative to B-Trees
We present the first uniquely represented data structure for an external memory model of computation, a B-tree analogue called a B-treap. Uniquely represented data structures repre...
Daniel Golovin
ICPR
2008
IEEE
14 years 3 months ago
Pre-extracting method for SVM classification based on the non-parametric K-NN rule
With the increase of the training set’s size, the efficiency of support vector machine (SVM) classifier will be confined. To solve such a problem, a novel preextracting method f...
Deqiang Han, Chongzhao Han, Yi Yang, Yu Liu, Wenta...