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ICMCS
2006
IEEE
160views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Selecting Kernel Eigenfaces for Face Recognition with One Training Sample Per Subject
It is well-known that supervised learning techniques such as linear discriminant analysis (LDA) often suffer from the so called small sample size problem when apply to solve face ...
Jie Wang, Konstantinos N. Plataniotis, Anastasios ...
IMAGING
2001
13 years 9 months ago
Spherical Sampling and Color Transformations
In this paper, we present a spherical sampling technique that can be employed to find optimal sensors for trichromatic color applications. The advantage over other optimization te...
Graham D. Finlayson, Sabine Süsstrunk
CORR
2008
Springer
107views Education» more  CORR 2008»
13 years 7 months ago
Estimating Signals with Finite Rate of Innovation from Noisy Samples: A Stochastic Algorithm
As an example of the recently introduced concept of rate of innovation, signals that are linear combinations of a finite number of Diracs per unit time can be acquired by linear fi...
Vincent Yan Fu Tan, Vivek K. Goyal
TIT
2011
121views more  TIT 2011»
13 years 2 months ago
Strongly Consistent Estimation of the Sample Distribution of Noisy Continuous-Parameter Fields
The general problem of defining and determining the sample distribution in the case of continuousparameter random fields, is addressed. Defining a distribution in the case of d...
Shahar Z. Kovalsky, Guy Cohen, Joseph M. Francos
CVPR
2001
IEEE
14 years 9 months ago
Small Sample Learning during Multimedia Retrieval using BiasMap
All positive examples are alike; each negative example is negative in its own way. During interactive multimedia information retrieval, the number of training samples fed-back by ...
Xiang Sean Zhou, Thomas S. Huang