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» MABLE: a framework for learning from natural instruction
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NIPS
2003
14 years 11 months ago
Computing Gaussian Mixture Models with EM Using Equivalence Constraints
Density estimation with Gaussian Mixture Models is a popular generative technique used also for clustering. We develop a framework to incorporate side information in the form of e...
Noam Shental, Aharon Bar-Hillel, Tomer Hertz, Daph...
TOG
2008
84views more  TOG 2008»
14 years 9 months ago
Fast image/video upsampling
We propose a simple but effective upsampling method for automatically enhancing the image/video resolution, while preserving the essential structural information. The main advanta...
Qi Shan, Zhaorong Li, Jiaya Jia, Chi-Keung Tang
TIP
2010
255views more  TIP 2010»
14 years 4 months ago
Image Super-Resolution Via Sparse Representation
This paper presents a new approach to single-image superresolution, based on sparse signal representation. Research on image statistics suggests that image patches can be wellrepre...
Jianchao Yang, John Wright, Thomas S. Huang, Yi Ma
KDD
2009
ACM
249views Data Mining» more  KDD 2009»
15 years 10 months ago
Drosophila gene expression pattern annotation using sparse features and term-term interactions
The Drosophila gene expression pattern images document the spatial and temporal dynamics of gene expression and they are valuable tools for explicating the gene functions, interac...
Shuiwang Ji, Lei Yuan, Ying-Xin Li, Zhi-Hua Zhou, ...
IWDW
2007
Springer
15 years 3 months ago
Steganalysis Versus Splicing Detection
Aiming at detecting secret information hidden in a given image using steganographic tools, steganalysis has been of interest since the end of 1990’s. In particular, universal ste...
Yun Q. Shi, Chunhua Chen, Guorong Xuan, Wei Su