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» Novel image feature alphabets for object recognition
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AMFG
2007
IEEE
238views Biometrics» more  AMFG 2007»
15 years 1 months ago
Towards Pose-Invariant 2D Face Classification for Surveillance
A key problem for "face in the crowd" recognition from existing surveillance cameras in public spaces (such as mass transit centres) is the issue of pose mismatches betwe...
Conrad Sanderson, Ting Shan, Brian C. Lovell
CAIP
2009
Springer
220views Image Analysis» more  CAIP 2009»
15 years 4 months ago
Rotation Invariant Texture Classification Using Binary Filter Response Pattern (BFRP)
Using statistical textons for texture classification has shown great success recently. The maximal response 8 (MR8) method, which extracts an 8-dimensional feature set from 38 filt...
Zhenhua Guo, Lei Zhang, David Zhang
ICDM
2006
IEEE
225views Data Mining» more  ICDM 2006»
15 years 3 months ago
Adaptive Kernel Principal Component Analysis with Unsupervised Learning of Kernels
Choosing an appropriate kernel is one of the key problems in kernel-based methods. Most existing kernel selection methods require that the class labels of the training examples ar...
Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen
IUI
2009
ACM
15 years 6 months ago
Subobject detection through spatial relationships on mobile phones
We present a novel image classification technique for detecting multiple objects (called subobjects) in a single image. In addition to image classifiers, we apply spatial relati...
Benjamin Brombach, Erich Bruns, Oliver Bimber
COGSCI
2002
99views more  COGSCI 2002»
14 years 9 months ago
Learning words from sights and sounds: a computational model
This paper presents an implemented computational model of word acquisition which learns directly from raw multimodal sensory input. Set in an information theoretic framework, the ...
Deb Roy, Alex Pentland