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» Optimizing Learning in Image Retrieval
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CVPR
2007
IEEE
15 years 11 months ago
An Exemplar Model for Learning Object Classes
We introduce an exemplar model that can learn and generate a region of interest around class instances in a training set, given only a set of images containing the visual class. T...
Ondrej Chum, Andrew Zisserman
ICMCS
2009
IEEE
138views Multimedia» more  ICMCS 2009»
14 years 7 months ago
Position-based face hallucination method
In this paper, we propose a novel face hallucination method to reconstruct a high-resolution face image from a lowresolution observation based on a set of high- and lowresolution ...
Xiang Ma, Junping Zhang, Chun Qi
ICML
2006
IEEE
15 years 10 months ago
Learning a kernel function for classification with small training samples
When given a small sample, we show that classification with SVM can be considerably enhanced by using a kernel function learned from the training data prior to discrimination. Thi...
Tomer Hertz, Aharon Bar-Hillel, Daphna Weinshall
ICIP
2004
IEEE
15 years 11 months ago
Rate-distortion optimized streaming for 3-D wavelet video
We propose a rate-distortion optimized framework to stream scalable bitstreams of 3-D wavelet video stored at the sender to a remote receiver. Based on the source rate-distortion ...
Chuo-Ling Chang, Sangeun Han, Bernd Girod
ECCV
2006
Springer
15 years 11 months ago
Statistical Priors for Efficient Combinatorial Optimization Via Graph Cuts
Abstract. Bayesian inference provides a powerful framework to optimally integrate statistically learned prior knowledge into numerous computer vision algorithms. While the Bayesian...
Daniel Cremers, Leo Grady