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» Learning a Classification Model for Segmentation
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JMLR
2008
168views more  JMLR 2008»
15 years 6 months ago
Max-margin Classification of Data with Absent Features
We consider the problem of learning classifiers in structured domains, where some objects have a subset of features that are inherently absent due to complex relationships between...
Gal Chechik, Geremy Heitz, Gal Elidan, Pieter Abbe...
179
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MSOM
2007
118views more  MSOM 2007»
15 years 5 months ago
What Can Be Learned from Classical Inventory Models? A Cross-Industry Exploratory Investigation
: Classical inventory models offer a variety of insights into the optimal way to manage inventories of individual products. However, top managers and industry analysts are often co...
Sergey Rumyantsev, Serguei Netessine
MM
2010
ACM
169views Multimedia» more  MM 2010»
15 years 6 months ago
CO3 for ultra-fast and accurate interactive segmentation
This paper presents an interactive image segmentation framework which is ultra-fast and accurate. Our framework, termed "CO3", consists of three components: COupled repr...
Yibiao Zhao, Song Chun Zhu, Siwei Luo
SCVMA
2004
Springer
15 years 11 months ago
A Generative Model of Dense Optical Flow in Layers
We introduce a generative model of dense flow fields within a layered representation of 3-dimensional scenes. Using probabilistic inference and learning techniques (namely, varia...
Anitha Kannan, Brendan J. Frey, Nebojsa Jojic
DAGSTUHL
2010
15 years 7 months ago
Patient-Specific Mappings between Myocardial and Coronary Anatomy
The segmentation of the myocardium based on the 17-segment model as recommended by the American Heart Association is widely used in medical practice. The patient-specific coronary...
Maurice Termeer, Javier Oliván Bescó...