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JMLR
2010
153views more  JMLR 2010»
13 years 2 months ago
Generalized Expectation Criteria for Semi-Supervised Learning with Weakly Labeled Data
In this paper, we present an overview of generalized expectation criteria (GE), a simple, robust, scalable method for semi-supervised training using weakly-labeled data. GE fits m...
Gideon S. Mann, Andrew McCallum
ICIP
2010
IEEE
13 years 6 months ago
Mixed-resolution distributed video codec without motion estimation at the encoder
Inspired by recent results showing that Wyner-Ziv coding using a combination of source and channel coding may be more efficient than pure channel coding, we have applied coset cod...
Bruno Macchiavello, Edson M. Hung, Ricardo L. de Q...
TCBB
2010
176views more  TCBB 2010»
13 years 6 months ago
Feature Selection for Gene Expression Using Model-Based Entropy
—Gene expression data usually contain a large number of genes, but a small number of samples. Feature selection for gene expression data aims at finding a set of genes that best...
Shenghuo Zhu, Dingding Wang, Kai Yu, Tao Li, Yihon...
AAAI
2010
13 years 9 months ago
Facial Age Estimation by Learning from Label Distributions
One of the main difficulties in facial age estimation is the lack of sufficient training data for many ages. Fortunately, the faces at close ages look similar since aging is a slo...
Xin Geng, Kate Smith-Miles, Zhi-Hua Zhou
ICASSP
2008
IEEE
14 years 2 months ago
Determining the parameters in regularized super-resolution reconstruction
We derive a novel method to determine the parameters for regularized super-resolution problems. The proposed approach relies on the Joint Maximum a Posteriori (JMAP) estimation te...
Marcelo Victor Wüst Zibetti, Joceli Mayer, Fe...