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CVPR
2009
IEEE
15 years 1 months ago
D - Clutter: Building object model library from unsupervised segmentation of cluttered scenes
Autonomous systems which learn and utilize a limited visual vocabulary have wide spread applications. Enabling such systems to segment a set of cluttered scenes into objects is ...
Chandra Kambhamettu, Dimitris N. Metaxas, Gowri So...
MP
1998
136views more  MP 1998»
13 years 7 months ago
Minimum cost capacity installation for multicommodity network flows
Consider a directed graph G = (V;A), and a set of tra c demands to be shipped between pairs of nodes in V. Capacity has to be installed on the edges of this graph (in integer mult...
Daniel Bienstock, Sunil Chopra, Oktay Günl&uu...
FUIN
2008
98views more  FUIN 2008»
13 years 7 months ago
A Restarted Strategy for Efficient Subsumption Testing
We study runtime distributions of subsumption testing. On graph data randomly sampled from two different generative models we observe a gradual growth of the tails of the distribut...
Ondrej Kuzelka, Filip Zelezný
ECML
2003
Springer
14 years 18 days ago
Pairwise Preference Learning and Ranking
We consider supervised learning of a ranking function, which is a mapping from instances to total orders over a set of labels (options). The training information consists of exampl...
Johannes Fürnkranz, Eyke Hüllermeier
SIBGRAPI
2008
IEEE
14 years 1 months ago
Structural Matching of 2D Electrophoresis Gels using Graph Models
2D electrophoresis is a well known method for protein separation which is extremely useful in the field of proteomics. Each spot in the image represents a protein accumulation an...
Alexandre Noma, Alvaro Pardo, Roberto Marcondes Ce...