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SDM
2011
SIAM
233views Data Mining» more  SDM 2011»
12 years 10 months ago
Multi-Instance Mixture Models
Multi-instance (MI) learning is a variant of supervised learning where labeled examples consist of bags (i.e. multi-sets) of feature vectors instead of just a single feature vecto...
James R. Foulds, Padhraic Smyth
BMCBI
2007
102views more  BMCBI 2007»
13 years 7 months ago
FlexOracle: predicting flexible hinges by identification of stable domains
Background: Protein motions play an essential role in catalysis and protein-ligand interactions, but are difficult to observe directly. A substantial fraction of protein motions i...
Samuel Flores, Mark Gerstein
ICCV
2007
IEEE
14 years 9 months ago
Applications of parametric maxflow in computer vision
The maximum flow algorithm for minimizing energy functions of binary variables has become a standard tool in computer vision. In many cases, unary costs of the energy depend linea...
Vladimir Kolmogorov, Yuri Boykov, Carsten Rother
ICCD
2006
IEEE
111views Hardware» more  ICCD 2006»
14 years 4 months ago
Implicit Search-Space Aware Cofactor Expansion: A Novel Preimage Computation Technique
Abstract— In this paper, we introduce a novel preimage computation technique that directly computes the circuit cofactors without an explicit search for any satisfiable solution...
Kameshwar Chandrasekar, Michael S. Hsiao
ECCV
2008
Springer
14 years 9 months ago
Automatic Image Colorization Via Multimodal Predictions
We aim to color greyscale images automatically, without any manual intervention. The color proposition could then be interactively corrected by user-provided color landmarks if nec...
Bernhard Schölkopf, Guillaume Charpiat, Matth...