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IJCNN
2006
IEEE
14 years 3 months ago
Learning to Segment Any Random Vector
— We propose a method that takes observations of a random vector as input, and learns to segment each observation into two disjoint parts. We show how to use the internal coheren...
Aapo Hyvärinen, Jukka Perkiö
IJCV
2006
129views more  IJCV 2006»
13 years 9 months ago
An a contrario Decision Framework for Region-Based Motion Detection
The aim of motion detection is to decide whether a given part of an image belongs to a moving object or to the static background. This paper proposes an automatic decision rule for...
Thomas Veit, Frédéric Cao, Patrick B...
MST
2011
208views Hardware» more  MST 2011»
13 years 4 months ago
Weighted Picture Automata and Weighted Logics
The theory of two-dimensional languages, generalizing formal string languages, was motivated by problems arising from image processing and models of parallel computing. Weighted au...
Ina Fichtner
ICCV
2011
IEEE
12 years 9 months ago
Shape-constrained Gaussian Process Regression for Facial-point-based Head-pose Normalization
Given the facial points extracted from an image of a face in an arbitrary pose, the goal of facial-point-based headpose normalization is to obtain the corresponding facial points ...
Ognjen Rudovic, Maja Pantic
KDD
2009
ACM
257views Data Mining» more  KDD 2009»
14 years 4 months ago
Argo: intelligent advertising by mining a user's interest from his photo collections
In this paper, we introduce a system named Argo which provides intelligent advertising made possible from users’ photo collections. Based on the intuition that user-generated ph...
Xin-Jing Wang, Mo Yu, Lei Zhang, Rui Cai, Wei-Ying...