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» On the Learnability of Vector Spaces
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PKDD
2009
Springer
118views Data Mining» more  PKDD 2009»
15 years 4 months ago
Protein Identification from Tandem Mass Spectra with Probabilistic Language Modeling
This paper presents an interdisciplinary investigation of statistical information retrieval (IR) techniques for protein identification from tandem mass spectra, a challenging probl...
Yiming Yang, Abhay Harpale, Subramaniam Ganapathy
ICPR
2008
IEEE
15 years 4 months ago
Computer graphics identification using genetic algorithm
This paper proposes the use of genetic algorithm to select an optimal feature set for distinguishing computer graphics from digital photographic images. Our previously developed a...
Wen Chen, Yun Q. Shi, Guorong Xuan, Wei Su
ICIAR
2005
Springer
15 years 3 months ago
Multi-dimensional Color Histograms for Segmentation of Wounds in Images
The work investigates the use of multi dimensional histograms for segmentation of images of chronic wounds. We employ a Support Vector Machine (SVM) classifier for automatic extrac...
Marina Kolesnik, Ales Fexa
NIPS
2001
14 years 11 months ago
Online Learning with Kernels
Abstract--Kernel-based algorithms such as support vector machines have achieved considerable success in various problems in batch setting, where all of the training data is availab...
Jyrki Kivinen, Alex J. Smola, Robert C. Williamson
IJCSA
2006
129views more  IJCSA 2006»
14 years 10 months ago
The SH-Tree: A Novel and Flexible Super Hybrid Index Structure for Similarity Search on Multidimensional Data
Approaches to indexing and searching feature vectors are an indispensable factor to support similarity search effectively and efficiently. Such feature vectors extracted from real...
Tran Khanh Dang