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ICIP
2008
IEEE
15 years 7 months ago
Wavelet-based hybrid multilinear models for multidimensional image approximation
The wavelet transform hierarchically decomposes images with prescribed bases, while multilineal models search for optimal bases to adapt visual data. In this paper, we integrate t...
Qing Wu, Chun Chen, Yizhou Yu
124
Voted
INFOCOM
2012
IEEE
13 years 3 months ago
Sampling directed graphs with random walks
Abstract—Despite recent efforts to characterize complex networks such as citation graphs or online social networks (OSNs), little attention has been given to developing tools tha...
Bruno F. Ribeiro, Pinghui Wang, Fabricio Murai, Do...
89
Voted
KDD
2009
ACM
146views Data Mining» more  KDD 2009»
15 years 7 months ago
Online allocation of display advertisements subject to advanced sales contracts
In this paper we propose a utility model that accounts for both sales and branding advertisers. We first study the computational complexity of optimization problems related to bo...
Saeed Alaei, Esteban Arcaute, Samir Khuller, Wenji...
116
Voted
NIPS
2004
15 years 2 months ago
Parametric Embedding for Class Visualization
In this paper, we propose a new method, Parametric Embedding (PE), for visualizing the posteriors estimated over a mixture model. PE simultaneously embeds both objects and their c...
Tomoharu Iwata, Kazumi Saito, Naonori Ueda, Sean S...
123
Voted
AAAI
2012
13 years 3 months ago
Transfer Learning with Graph Co-Regularization
Transfer learning proves to be effective for leveraging labeled data in the source domain to build an accurate classifier in the target domain. The basic assumption behind transf...
Mingsheng Long, Jianmin Wang 0001, Guiguang Ding, ...