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IJON
2007
184views more  IJON 2007»
15 years 2 months ago
Convex incremental extreme learning machine
Unlike the conventional neural network theories and implementations, Huang et al. [Universal approximation using incremental constructive feedforward networks with random hidden n...
Guang-Bin Huang, Lei Chen
DCC
2010
IEEE
15 years 9 months ago
Block Compressed Sensing of Images Using Directional Transforms
Block-based random image sampling is coupled with a projectiondriven compressed-sensing recovery that encourages sparsity in the domain of directional transforms simultaneously wi...
Sungkwang Mun, James E. Fowler
ACCV
2009
Springer
15 years 8 months ago
Interactive Super-Resolution through Neighbor Embedding
Learning based super-resolution can recover high resolution image with high quality. However, building an interactive learning based super-resolution system for general images is e...
Jian Pu, Junping Zhang, Peihong Guo, Xiaoru Yuan
WINE
2009
Springer
383views Economy» more  WINE 2009»
15 years 8 months ago
News Posting by Strategic Users in a Social Network
We argue that users in social networks are strategic in how they post and propagate information. We propose two models — greedy and courteous — and study information propagatio...
Mangesh Gupte, MohammadTaghi Hajiaghayi, Lu Han, L...
ICTAI
2008
IEEE
15 years 8 months ago
An Incremental Hough Transform for Detecting Ellipses in Image Data Streams
In this paper, we present a purely incremental, scalable algorithm for the detection of elliptical shapes in images. Our method uses an incremental version of the Random Hough Tra...
Sofiane Sellah, Olfa Nasraoui