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ICML
2009
IEEE
14 years 8 months ago
Proximal regularization for online and batch learning
Many learning algorithms rely on the curvature (in particular, strong convexity) of regularized objective functions to provide good theoretical performance guarantees. In practice...
Chuong B. Do, Quoc V. Le, Chuan-Sheng Foo
CVPR
2012
IEEE
11 years 10 months ago
Unsupervised metric fusion by cross diffusion
Metric learning is a fundamental problem in computer vision. Different features and algorithms may tackle a problem from different angles, and thus often provide complementary inf...
Bo Wang, Jiayan Jiang, Wei Wang 0028, Zhi-Hua Zhou...
DEBU
2008
186views more  DEBU 2008»
13 years 7 months ago
A Survey of Collaborative Recommendation and the Robustness of Model-Based Algorithms
The open nature of collaborative recommender systems allows attackers who inject biased profile data to have a significant impact on the recommendations produced. Standard memory-...
Jeff J. Sandvig, Bamshad Mobasher, Robin D. Burke
CCGRID
2008
IEEE
14 years 2 months ago
A Stable Broadcast Algorithm
—Distributing large data to many nodes, known as a broadcast or a multicast, is an important operation in parallel and distributed computing. Most previous broadcast algorithms e...
Kei Takahashi, Hideo Saito, Takeshi Shibata, Kenji...
INFOCOM
2005
IEEE
14 years 1 months ago
Architecture and algorithms for an IEEE 802.11-based multi-channel wireless mesh network
— Even though multiple non-overlapped channels exist in the 2.4GHz and 5GHz spectrum, most IEEE 802.11-based multi-hop ad hoc networks today use only a single channel. As a resul...
Ashish Raniwala, Tzi-cker Chiueh