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Found 5 papers, 0 papers with code
Open Set Domain Adaptation with Zero-shot Learning on Graph
Thus the classification ability of the source domain is transferred to the target domain and the model can distinguish the unknown classes with prior knowledge.
Weakly Aligned Cross-Modal Learning for Multispectral Pedestrian Detection
In this paper, we propose a novel Aligned Region CNN (AR-CNN) to handle the weakly aligned multispectral data in an end-to-end way.
SegET: Deep Neural Network with Rich Contextual Features for Cellular Structures Segmentation in Electron Tomography Image
Electron tomography (ET) allows high-resolution reconstructions of macromolecular complexes at nearnative state.
A Weighted Common Subgraph Matching Algorithm
We propose a weighted common subgraph (WCS) matching algorithm to find the most similar subgraphs in two labeled weighted graphs.
GNCGCP - Graduated NonConvexity and Graduated Concavity Procedure
In this paper we propose the Graduated NonConvexity and Graduated Concavity Procedure (GNCGCP) as a general optimization framework to approximately solve the combinatorial optimization problems on the set of partial permutation matrices.
