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CVPR
2007
IEEE
16 years 8 months ago
3D Probabilistic Feature Point Model for Object Detection and Recognition
This paper presents a novel statistical shape model that can be used to detect and localise feature points of a class of objects in images. The shape model is inspired from the 3D...
Sami Romdhani, Thomas Vetter
GECCO
2011
Springer
236views Optimization» more  GECCO 2011»
14 years 10 months ago
Online, GA based mixture of experts: a probabilistic model of ucs
In recent years there have been efforts to develop a probabilistic framework to explain the workings of a Learning Classifier System. This direction of research has met with lim...
Narayanan Unny Edakunni, Gavin Brown, Tim Kovacs
ICDE
2009
IEEE
143views Database» more  ICDE 2009»
16 years 1 months ago
Supporting Generic Cost Models for Wide-Area Stream Processing
— Existing stream processing systems are optimized for a specific metric, which may limit their applicability to diverse applications and environments. This paper presents XFlow...
Olga Papaemmanouil, Ugur Çetintemel, John J...
TASLP
2010
101views more  TASLP 2010»
15 years 1 months ago
Gaussian Model-Based Multichannel Speech Presence Probability
The knowledge of the target speech presence probability in a mixture of signals captured by a speech communication system is of paramount importance in several applications includi...
Mehrez Souden, Jingdong Chen, Jacob Benesty, Sofi&...
ICCV
2009
IEEE
16 years 11 months ago
A Riemannian Analysis of 3D Nose Shapes For Partial Human Biometrics
In this paper we explore the use of shapes of noses for performing partial human biometrics. The basic idea is to represent nasal surfaces using indexed collections of isocurves,...
Hassen drira, Boulbaba Ben Amor, Anuj Srivastava, ...