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162
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SSPR
2004
Springer
16 years 6 days ago
Learning from General Label Constraints
Most machine learning algorithms are designed either for supervised or for unsupervised learning, notably classification and clustering. Practical problems in bioinformatics and i...
Tijl De Bie, Johan A. K. Suykens, Bart De Moor
179
Voted
SC
2003
ACM
16 years 3 days ago
BCS-MPI: A New Approach in the System Software Design for Large-Scale Parallel Computers
Buffered CoScheduled MPI (BCS-MPI) introduces a new approach to design the communication layer for largescale parallel machines. The emphasis of BCS-MPI is on the global coordinat...
Juan Fernández, Eitan Frachtenberg, Fabrizi...
159
Voted
MLDM
2001
Springer
15 years 11 months ago
Local Learning Framework for Recognition of Lowercase Handwritten Characters
Abstract. This paper proposes a general local learning framework to effectively alleviate the complexities of classifier design by means of “divide and conquer” principle and ...
Jian-xiong Dong, Adam Krzyzak, Ching Y. Suen
COLT
2000
Springer
15 years 11 months ago
On the Convergence Rate of Good-Turing Estimators
Good-Turing adjustments of word frequencies are an important tool in natural language modeling. In particular, for any sample of words, there is a set of words not occuring in tha...
David A. McAllester, Robert E. Schapire
ICASSP
2009
IEEE
15 years 10 months ago
High-level feature extraction using SVM with walk-based graph kernel
We investigate a method using support vector machines (SVMs) with walk-based graph kernels for high-level feature extraction from images. In this method, each image is first segme...
Jean-Philippe Vert, Tomoko Matsui, Shin'ichi Satoh...