Waarom dronken de Baafse monniken liever wijn dan bier?

Bier spots.

Bier Spheres and Posets

In 1992 Thomas Bier presented a strikingly simple method to produce a huge number of simplicial (n− 2)-spheres on 2n vertices as deleted joins of a simplicial complex on n vertices with its combinatorial Alexander dual. Here we interpret his construction as giving the poset of all the intervals in a boolean algebra that “cut across an ideal.” Thus we arrive at a substantial generalization of Bi...

Supplement for BIER

In this document we provide further insights into Boosting Independent Embeddings Robustly (BIER). First, in Section 2 we describe our method for loss functions operating on triplets. Next, in Section 3 we show how our method behaves when we vary the embedding size and the number of groups. In Section 4 we summarize the effect of our boosting based training approach and our initialization appro...

BIER - Boosting Independent Embeddings Robustly

Learning similarity functions between image pairs with deep neural networks yields highly correlated activations of large embeddings. In this work, we show how to improve the robustness of embeddings by exploiting independence in ensembles. We divide the last embedding layer of a deep network into an embedding ensemble and formulate training this ensemble as an online gradient boosting problem....

Yang Dan

Yang Dan Howard Hughes Medical Institute and the University of California, Berkeley Yang Dan is a Paul Licht Distinguished Professor in Biology and an Investigator of the Howard Hughes Medical Institute at the University of California, Berkeley. She grew up in Beijing and studied physics as an undergraduate student at Peking University. She conducted her PhD research in the lab of Mu-ming Poo a...