'Negative type' presentation slideshows

SDP Based Approach for Graph Partitioning and Embedding Negative Type Metrics into L 1

CS Perspective. SDP Based Approach for Graph Partitioning and Embedding Negative Type Metrics into L 1. Math Perspective. Parts I & II. Subhash Khot (Georgia Tech) Nisheeth K. Vishnoi (IBM Research and Georgia Tech). S. Sparsest Cut (SC) cut of minimum sparsity. S c.

382 views • 38 slides

geometric embeddings and graph expansion

geometric embeddings and graph expansion. James R. Lee. Institute for Advanced Study (Princeton) University of Washington (Seattle). outline. in the talk:. Philosophy of geometric embeddings Example: Finding balanced cuts in graphs Four important open problems. not in the talk:.

363 views • 26 slides

344 views • 18 slides

Distance scales, embeddings, and efficient relaxations of the cut cone

Distance scales, embeddings, and efficient relaxations of the cut cone. James R. Lee. University of California, Berkeley. In general, we will consider euclidean embeddings and the geometry of high dimensional euclidean spaces. euclidean embeddings and geometry. Euclidean embedding:

288 views • 13 slides