This paper is concerned with information revelation in single-item auctions. We compute how much data needs to be transmitted in three strategically equivalent auctions--the Vickr...
Elena Grigorieva, P. Jean-Jacques Herings, Rudolf ...
We present a framework for segmenting and storing filament networks from scalar volume data. Filament structures are commonly found in data generated using high-throughput microsc...
Dissipative particle dynamics (DPD) and its generalization - fluid particle model (FPM) - represent the "fluid particle" approach for simulating fluid-like behavior in t...
We describe an algorithm for segmenting three-dimensional medical imaging data modeled as a continuous function on a 3-manifold. It is related to watershed algorithms developed in ...
In this paper we integrate two essential processes, discretization of continuous data and learning of a model that explains them, towards fully computational machine learning from...