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» Face recognition and alignment using support vector machines
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UAI
2003
13 years 8 months ago
On the Convergence of Bound Optimization Algorithms
Many practitioners who use EM and related algorithms complain that they are sometimes slow. When does this happen, and what can be done about it? In this paper, we study the gener...
Ruslan Salakhutdinov, Sam T. Roweis, Zoubin Ghahra...
BMCBI
2010
125views more  BMCBI 2010»
13 years 7 months ago
Large-scale prediction of protein-protein interactions from structures
Background: The prediction of protein-protein interactions is an important step toward the elucidation of protein functions and the understanding of the molecular mechanisms insid...
Martial Hue, Michael Riffle, Jean-Philippe Vert, W...
BMCBI
2007
144views more  BMCBI 2007»
13 years 7 months ago
Automatic delineation of malignancy in histopathological head and neck slides
Background: Histopathology, which is one of the most important routines of all laboratory procedures used in pathology, is decisive for the diagnosis of cancer. Experienced histop...
Mutlu Mete, Xiaowei Xu, Chun-Yang Fan, Gal Shafirs...
SIGIR
2010
ACM
13 years 11 months ago
Self-taught hashing for fast similarity search
The ability of fast similarity search at large scale is of great importance to many Information Retrieval (IR) applications. A promising way to accelerate similarity search is sem...
Dell Zhang, Jun Wang, Deng Cai, Jinsong Lu
NIPS
2003
13 years 8 months ago
Max-Margin Markov Networks
In typical classification tasks, we seek a function which assigns a label to a single object. Kernel-based approaches, such as support vector machines (SVMs), which maximize the ...
Benjamin Taskar, Carlos Guestrin, Daphne Koller