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ECCV
2008
Springer
14 years 8 months ago
Saliency Based Opportunistic Search for Object Part Extraction and Labeling
We study the task of object part extraction and labeling, which seeks to understand objects beyond simply identifiying their bounding boxes. We start from bottom-up segmentation of...
Yang Wu, Qihui Zhu, Jianbo Shi, Nanning Zheng
JMLR
2006
108views more  JMLR 2006»
13 years 6 months ago
The Interplay of Optimization and Machine Learning Research
The fields of machine learning and mathematical programming are increasingly intertwined. Optimization problems lie at the heart of most machine learning approaches. The Special T...
Kristin P. Bennett, Emilio Parrado-Hernánde...
BMCBI
2006
102views more  BMCBI 2006»
13 years 6 months ago
SNA - a toolbox for the stoichiometric analysis of metabolic networks
Background: Despite recent algorithmic and conceptual progress, the stoichiometric network analysis of large metabolic models remains a computationally challenging problem. Result...
Robert Urbanczik
CCGRID
2004
IEEE
13 years 10 months ago
DWDM-RAM: a data intensive Grid service architecture enabled by dynamic optical networks
Next generation applications and architectures (for example, Grids) are driving radical changes in the nature of traffic, service models, technology, and cost, creating opportunit...
Tal Lavian, Joe Mambretti, Doug Cutrell, Howard J....
IVC
2007
131views more  IVC 2007»
13 years 6 months ago
Multi-view correspondence by enforcement of rigidity constraints
Establishing the correct correspondence between features in an image set remains a challenging problem amongst computer vision researchers. In fact, the combinatorial nature of fe...
Ricardo Oliveira, João Xavier, João ...