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ICMLA
2009
15 years 1 months ago
Learning Deep Neural Networks for High Dimensional Output Problems
State-of-the-art pattern recognition methods have difficulty dealing with problems where the dimension of the output space is large. In this article, we propose a new framework ba...
Benjamin Labbé, Romain Hérault, Cl&e...
ICRA
2009
IEEE
158views Robotics» more  ICRA 2009»
15 years 1 months ago
MMM-classification of 3D range data
This paper presents a method for accurately segmenting and classifying 3D range data into particular object classes. Object classification of input images is necessary for applicat...
Anuraag Agrawal, Atsushi Nakazawa, Haruo Takemura
CJ
2010
132views more  CJ 2010»
15 years 1 months ago
Internet Failures: an Emergent Sea of Complex Systems and Critical Design Errors?
Complex systems researchers have looked to the Internet as a possible source of interesting emergent behaviour. Indeed, some high profile failures, and some low level phenomena, m...
Jon Crowcroft
CVPR
2011
IEEE
14 years 7 months ago
Novelty detection from an Ego-centric perspective
This paper demonstrates a system for the automatic extraction of novelty in images captured from a small video camera attached to a subject’s chest, replicating his visual persp...
Omid Aghazadeh, Josephine Sullivan, Stefan Carlsso...
ICASSP
2011
IEEE
14 years 7 months ago
Joint blind source separation from second-order statistics: Necessary and sufficient identifiability conditions
This paper considers the problem of joint blind source separation (J-BSS), which appears in many practical problems such as blind deconvolution or functional magnetic resonance im...
Javier Vía, Matthew Anderson, Xi-Lin Li, T&...