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AAAI
2008
15 years 4 months ago
A Case Study on the Critical Role of Geometric Regularity in Machine Learning
An important feature of many problem domains in machine learning is their geometry. For example, adjacency relationships, symmetries, and Cartesian coordinates are essential to an...
Jason Gauci, Kenneth O. Stanley
128
Voted
DIALM
2008
ACM
140views Algorithms» more  DIALM 2008»
15 years 3 months ago
Latency of opportunistic forwarding in finite regular wireless networks
In opportunistic forwarding, a node randomly relays packets to one of its neighbors based on local information, without the knowledge of global topology. Each intermediate node co...
Prithwish Basu, Chi-Kin Chau
142
Voted
ACCV
2010
Springer
14 years 9 months ago
A Weak Structure Model for Regular Pattern Recognition Applied to Facade Images
Abstract. We propose a novel method for recognition of structured images and demonstrate it on detection of windows in facade images. Given an ability to obtain local low-level dat...
Radim Tylecek, Radim Sára
109
Voted
ICASSP
2011
IEEE
14 years 5 months ago
A Lagrangian dual relaxation approach to ML MIMO detection: Reinterpreting regularized lattice decoding
This paper describes a new approximate maximum-likelihood (ML) MIMO detection approach by studying a Lagrangian dual relaxation (LDR) of ML. Unlike many existing relaxed ML method...
Jiaxian Pan, Wing-Kin Ma
PROFES
2010
Springer
15 years 5 months ago
Regularities in Learning Defect Predictors
Collecting large consistent data sets for real world software projects is problematic. Therefore, we explore how little data are required before the predictor performance plateaus...
Burak Turhan, Ayse Basar Bener, Tim Menzies