High-dimensional data usually incur learning deficiencies and computational difficulties. We present a novel semi-supervised dimensionality reduction technique that embeds high-dim...
In this paper we present a distributed, application-morphable, algorithm for waking up appropriate sensor nodes in a heterogeneous sensor network. We assume a sensor field consisti...
Akis Spyropoulos, Cauligi S. Raghavendra, Viktor K...
We study retinal curvature estimation from multiple images that provides the fundamental geometry of human retina. We use an affine camera model due to its simplicity, linearity, ...
Abstract. In this work, we introduce a robust energy model for multiview 3D reconstruction that fuses silhouette- and stereo-based image information. It allows to cope with signiď¬...
Kalin Kolev, Maria Klodt, Thomas Brox, Selim Esedo...
In this paper, we introduce a novel algorithm to solve
global shape registration problems. We use gray-scale “images”
to represent source shapes, and propose a novel twocompo...
Hongsheng Li (Lehigh University), Tian Shen (Lehig...