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ICCV
2009
IEEE
15 years 17 days ago
A Global Perspective on MAP Inference for Low-Level Vision
In recent years the Markov Random Field (MRF) has become the de facto probabilistic model for low-level vision applications. However, in a maximum a posteriori (MAP) framework, ...
Oliver J. Woodford, Carsten Rother, Vladimir Kolmo...
KDD
2004
ACM
158views Data Mining» more  KDD 2004»
14 years 8 months ago
A generalized maximum entropy approach to bregman co-clustering and matrix approximation
Co-clustering is a powerful data mining technique with varied applications such as text clustering, microarray analysis and recommender systems. Recently, an informationtheoretic ...
Arindam Banerjee, Inderjit S. Dhillon, Joydeep Gho...
COLT
1999
Springer
13 years 12 months ago
Covering Numbers for Support Vector Machines
—Support vector (SV) machines are linear classifiers that use the maximum margin hyperplane in a feature space defined by a kernel function. Until recently, the only bounds on th...
Ying Guo, Peter L. Bartlett, John Shawe-Taylor, Ro...
TSMC
2008
187views more  TSMC 2008»
13 years 7 months ago
A Position-Based Clustering Technique for Ad Hoc Intervehicle Communication
Abstract--Intervehicle communication is a key technique of intelligent transport systems. Recently, ad hoc networking in the vehicular environment was investigated intensively. Thi...
Zhigang Wang, Lichuan Liu, MengChu Zhou, N. Ansari
WWW
2008
ACM
14 years 8 months ago
A combinatorial allocation mechanism with penalties for banner advertising
Most current banner advertising is sold through negotiation thereby incurring large transaction costs and possibly suboptimal allocations. We propose a new automated system for se...
Uriel Feige, Nicole Immorlica, Vahab S. Mirrokni, ...