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CVPR
2004
IEEE
14 years 11 months 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
ICDE
2006
IEEE
191views Database» more  ICDE 2006»
14 years 10 months ago
Query Decomposition: A Multiple Neighborhood Approach to Relevance Feedback Processing in Content-based Image Retrieval
Today's Content-Based Image Retrieval (CBIR) techniques are based on the "k-nearest neighbors" (kNN) model. They retrieve images from a single neighborhood using lo...
Kien A. Hua, Ning Yu, Danzhou Liu
ICPR
2006
IEEE
14 years 10 months ago
Exploiting High Dimensional Video Features Using Layered Gaussian Mixture Models
Analysis of video data usually requires training classifiers in high dimensional feature spaces. This paper proposes a layered Gaussian mixture model (LGMM) to exploit high dimens...
Datong Chen, Jie Yang
SIGMOD
2001
ACM
193views Database» more  SIGMOD 2001»
14 years 9 months ago
Epsilon Grid Order: An Algorithm for the Similarity Join on Massive High-Dimensional Data
The similarity join is an important database primitive which has been successfully applied to speed up applications such as similarity search, data analysis and data mining. The s...
Christian Böhm, Bernhard Braunmüller, Fl...
INFOCOM
2009
IEEE
14 years 3 months ago
Fit a Spread Estimator in Small Memory
—The spread of a source host is the number of distinct destinations that it has sent packets to during a measurement period. A spread estimator is a software/hardware module on a...
MyungKeun Yoon, Tao Li, Shigang Chen, Jih-Kwon Pei...