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» Computationally Efficient Transductive Machines
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ICPR
2002
IEEE
16 years 5 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
16 years 5 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
16 years 4 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
16 years 4 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
15 years 10 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...