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PRL
2011
14 years 10 months ago
Object recognition using proportion-based prior information: Application to fisheries acoustics
: This paper addresses the inference of probabilistic classification models using weakly supervised learning. The main contribution of this work is the development of learning meth...
Riwal Lefort, Ronan Fablet, Jean-Marc Boucher
128
Voted
TMI
2011
147views more  TMI 2011»
14 years 10 months ago
Labeling of Lumbar Discs Using Both Pixel- and Object-Level Features With a Two-Level Probabilistic Model
Abstract—Backbone anatomical structure detection and labeling is a necessary step for various analysis tasks of the vertebral column. Appearance, shape and geometry measurements ...
Raja' S. Alomari, Jason J. Corso, Vipin Chaudhary
144
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JMLR
2010
144views more  JMLR 2010»
14 years 10 months ago
Maximum Margin Learning with Incomplete Data: Learning Networks instead of Tables
In this paper we address the problem of predicting when the available data is incomplete. We show that changing the generally accepted table-wise view of the sample items into a g...
Sándor Szedmák, Yizhao Ni, Steve R. ...
165
Voted
PAMI
2010
178views more  PAMI 2010»
14 years 10 months ago
Shape from Specular Flow
Specular flow is the motion field induced on the image plane by the movement of points reflected by a curved, mirror-like surface. This flow provides information about surface sha...
Yair Adato, Yuriy Vasilyev, Todd Zickler, Ohad Ben...
132
Voted
PC
2010
101views Management» more  PC 2010»
14 years 10 months ago
An efficient parallel implementation of the MSPAI preconditioner
We present an efficient implementation of the Modified SParse Approximate Inverse (MSPAI) preconditioner. MSPAI generalizes the class of preconditioners based on Frobenius norm mi...
Thomas Huckle, A. Kallischko, A. Roy, M. Sedlacek,...