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» On the Learnability of Vector Spaces
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ICIP
1999
IEEE
15 years 11 months ago
Hypercomplex Auto-And-Cross-Correlation of Color Images
Autocorrelation and cross-correlation have been defined and utilized in signal and image processing for many years, but not for color or vector images. In this poster we present f...
Stephen J. Sangwine, Todd A. Ell
CORR
2006
Springer
102views Education» more  CORR 2006»
14 years 10 months ago
Theoretical Properties of Projection Based Multilayer Perceptrons with Functional Inputs
Many real world data are sampled functions. As shown by Functional Data Analysis (FDA) methods, spectra, time series, images, gesture recognition data, etc. can be processed more e...
Fabrice Rossi, Brieuc Conan-Guez
TCS
2008
14 years 10 months ago
Kernel methods for learning languages
This paper studies a novel paradigm for learning formal languages from positive and negative examples which consists of mapping strings to an appropriate highdimensional feature s...
Leonid Kontorovich, Corinna Cortes, Mehryar Mohri
SDM
2011
SIAM
370views Data Mining» more  SDM 2011»
14 years 26 days ago
Sparse Latent Semantic Analysis
Latent semantic analysis (LSA), as one of the most popular unsupervised dimension reduction tools, has a wide range of applications in text mining and information retrieval. The k...
Xi Chen, Yanjun Qi, Bing Bai, Qihang Lin, Jaime G....
CVPR
2004
IEEE
16 years 2 days ago
Super-Resolution through Neighbor Embedding
In this paper, we propose a novel method for solving single-image super-resolution problems. Given a low-resolution image as input, we recover its highresolution counterpart using...
Hong Chang, Dit-Yan Yeung, Yimin Xiong