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» Structural Inferences from Massive Datasets
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CVPR
2008
IEEE
14 years 9 months ago
Unsupervised learning of probabilistic object models (POMs) for object classification, segmentation and recognition
We present a new unsupervised method to learn unified probabilistic object models (POMs) which can be applied to classification, segmentation, and recognition. We formulate this a...
Yuanhao Chen, Long Zhu, Alan L. Yuille, HongJiang ...
PAMI
2011
13 years 2 months ago
Greedy Learning of Binary Latent Trees
—Inferring latent structures from observations helps to model and possibly also understand underlying data generating processes. A rich class of latent structures are the latent ...
Stefan Harmeling, Christopher K. I. Williams
BMCBI
2008
116views more  BMCBI 2008»
13 years 7 months ago
IgTM: An algorithm to predict transmembrane domains and topology in proteins
Background: Due to their role of receptors or transporters, membrane proteins play a key role in many important biological functions. In our work we used Grammatical Inference (GI...
Piedachu Peris, Damián López, Marcel...
3DPVT
2004
IEEE
159views Visualization» more  3DPVT 2004»
13 years 11 months ago
Dense Multiple View Stereo with General Camera Placement using Tensor Voting
We present a computational framework for the inference of dense descriptions from multiple view stereo with general camera placement. Thus far research on dense multiple view ster...
Philippos Mordohai, Gérard G. Medioni
IMC
2009
ACM
14 years 2 months ago
TCP revisited: a fresh look at TCP in the wild
Since the last in-depth studies of measured TCP traffic some 68 years ago, the Internet has experienced significant changes, including the rapid deployment of backbone links wit...
Feng Qian, Alexandre Gerber, Zhuoqing Morley Mao, ...