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AAAI
2011
12 years 5 months ago
Convex Sparse Coding, Subspace Learning, and Semi-Supervised Extensions
Automated feature discovery is a fundamental problem in machine learning. Although classical feature discovery methods do not guarantee optimal solutions in general, it has been r...
Xinhua Zhang, Yaoliang Yu, Martha White, Ruitong H...
PAMI
2011
13 years 22 days ago
Product Quantization for Nearest Neighbor Search
— This paper introduces a product quantization based approach for approximate nearest neighbor search. The idea is to decomposes the space into a Cartesian product of low dimensi...
Hervé Jégou, Matthijs Douze, Cordeli...
PKC
2009
Springer
126views Cryptology» more  PKC 2009»
14 years 6 months ago
Signing a Linear Subspace: Signature Schemes for Network Coding
Network coding offers increased throughput and improved robustness to random faults in completely decentralized networks. In contrast to traditional routing schemes, however, netw...
Dan Boneh, David Freeman, Jonathan Katz, Brent Wat...
ICCV
2011
IEEE
12 years 5 months ago
A Linear Subspace Learning Approach via Sparse Coding
Linear subspace learning (LSL) is a popular approach to image recognition and it aims to reveal the essential features of high dimensional data, e.g., facial images, in a lower di...
Lei Zhang, Pengfei Zhu, Qinghu Hu, David Zhang
ICC
2007
IEEE
108views Communications» more  ICC 2007»
14 years 3 days ago
Subspace Methods for Network Resource Reservation Coding Processes
—This paper presents a mathematical framework for resource reservation in TCP/IP networks by invoking a dynamic system viewpoint on the congestion monitoring processes occurring ...
Alexandru Murgu