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» New Support Vector Algorithms
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126
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AIIA
2001
Springer
15 years 6 months ago
A New Machine Learning Approach to Fingerprint Classification
We present new fingerprint classification algorithms based on two machine learning approaches: support vector machines (SVMs), and recursive neural networks (RNNs). RNNs are traine...
Yuan Yao, Gian Luca Marcialis, Massimiliano Pontil...
69
Voted
SYNASC
2006
IEEE
62views Algorithms» more  SYNASC 2006»
15 years 8 months ago
A New Approach for Accelerating the Sparse Matrix-Vector Multiplication
Pavel Tvrdík, Ivan Simecek
112
Voted
NIPS
2000
15 years 3 months ago
Vicinal Risk Minimization
The Vicinal Risk Minimization principle establishes a bridge between generative models and methods derived from the Structural Risk Minimization Principle such as Support Vector M...
Olivier Chapelle, Jason Weston, Léon Bottou...
133
Voted
ICPP
1993
IEEE
15 years 6 months ago
Activity Counter: New Optimization for the Dynamic Scheduling of SIMD Control Flow
SIMD or vector computers and collection-oriented languages, like C , are designed to perform the same computation on each data item or on just a subset of the data. Subsets of pro...
Ronan Keryell, Nicolas Paris
101
Voted
ICML
2005
IEEE
16 years 3 months ago
Supervised clustering with support vector machines
Supervised clustering is the problem of training a clustering algorithm to produce desirable clusterings: given sets of items and complete clusterings over these sets, we learn ho...
Thomas Finley, Thorsten Joachims