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CVPR
2003
IEEE
14 years 12 months ago
Object Class Recognition by Unsupervised Scale-Invariant Learning
We present a method to learn and recognize object class models from unlabeled and unsegmented cluttered scenes in a scale invariant manner. Objects are modeled as flexible constel...
Robert Fergus, Pietro Perona, Andrew Zisserman
FGR
2008
IEEE
166views Biometrics» more  FGR 2008»
13 years 11 months ago
Recognizing talking faces from acoustic Doppler reflections
Face recognition algorithms typically deal with the classification of static images of faces that are obtained using a camera. In this paper we propose a new sensing mechanism bas...
Kaustubh Kalgaonkar, Bhiksha Raj
FGR
2008
IEEE
221views Biometrics» more  FGR 2008»
14 years 4 months ago
Markovian mixture face recognition with discriminative face alignment
A typical automatic face recognition system is composed of three parts: face detection, face alignment and face recognition. Conventionally, these three parts are processed in a b...
Ming Zhao 0003, Tat-Seng Chua
MCS
2005
Springer
14 years 3 months ago
Ensembles of Classifiers from Spatially Disjoint Data
We describe an ensemble learning approach that accurately learns from data that has been partitioned according to the arbitrary spatial requirements of a large-scale simulation whe...
Robert E. Banfield, Lawrence O. Hall, Kevin W. Bow...
ICPR
2008
IEEE
14 years 4 months ago
A comparative evaluation of Average Face on holistic and local face recognition approaches
This study focuses on a recent paper "100% Accuracy in Automatic Face Recognition" published on Science, in which an "Average Face" is proposed and claimed to ...
Sanqiang Zhao, Xiaozheng Zhang, Yongsheng Gao