output
19992026
most citedDeep Learning in Neural Networks: An Overview

18.2k citations

Showing 2011Show all

7 papers · 1 filter

cs.CV2011★ 4 cited

Descriptor learning for omnidirectional image matching

Jonathan Masci, Davide Migliore, Michael M. Bronstein +1

Feature matching in omnidirectional vision systems is a challenging problem, mainly because complicated optical systems make the theoretical modelling of invariance and constructio…

cs.DS2011

The Feedback Arc Set Problem with Triangle Inequality is a Vertex Cover Problem

Monaldo Mastrolilli

We consider the (precedence constrained) Minimum Feedback Arc Set problem with triangle inequalities on the weights, which finds important applications in problems of ranking with…

cs.AI2011★ 12 cited

POWERPLAY: Training an Increasingly General Problem Solver by Continually Searching for the Simplest Still Unsolvable Problem

Jürgen Schmidhuber

Most of computer science focuses on automatically solving given computational problems. I focus on automatically inventing or discovering problems in a way inspired by the playful…

cs.DS2011

Steiner Forest Orientation Problems

Marek Cygan, Guy Kortsarz, Zeev Nutov

We consider connectivity problems with orientation constraints. Given a directed graph and a collection of ordered node pairs let $P[D]=\{(u,v) \in P: D {contains a} uv{-pa…

cs.LG2011★ 1 cited

Improving parameter learning of Bayesian nets from incomplete data

Giorgio Corani, Cassio P. De Campos

This paper addresses the estimation of parameters of a Bayesian network from incomplete data. The task is usually tackled by running the Expectation-Maximization (EM) algorithm sev…

cs.AI2011

Solving Limited Memory Influence Diagrams

Denis Deratani Mauá, Cassio Polpo de Campos, Marco Zaffalon

We present a new algorithm for exactly solving decision making problems represented as influence diagrams. We do not require the usual assumptions of no forgetting and regularity;…