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» Situation Recognition: Representation and Algorithms
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AUSAI
2008
Springer
13 years 11 months ago
Learning Object Representations Using Sequential Patterns
This paper explores the use of alternating sequential patterns of local features and saccading actions to learn robust and compact object representations. The temporal encoding rep...
Nobuyuki Morioka
PAMI
2012
11 years 11 months ago
Recursive Segmentation and Recognition Templates for Image Parsing
— Language and image understanding are two major goals of artificial intelligence which can both be conceptually formulated in terms of parsing the input signal into a hierarchi...
Long Zhu, Yuanhao Chen, Yuan Lin, Chenxi Lin, Alan...
AMFG
2007
IEEE
328views Biometrics» more  AMFG 2007»
14 years 3 months ago
Fusing Gabor and LBP Feature Sets for Kernel-Based Face Recognition
Extending recognition to uncontrolled situations is a key challenge for practical face recognition systems. Finding efficient and discriminative facial appearance descriptors is c...
Xiaoyang Tan, Bill Triggs
WACV
2005
IEEE
14 years 2 months ago
Shared Features for Scalable Appearance-Based Object Recognition
We present a framework for learning object representations for fast recognition of a large number of different objects. Rather than learning and storing feature representations s...
Erik Murphy-Chutorian, Jochen Triesch
MICAI
2007
Springer
14 years 3 months ago
An EM Algorithm to Learn Sequences in the Wavelet Domain
The wavelet transform has been used for feature extraction in many applications of pattern recognition. However, in general the learning algorithms are not designed taking into acc...
Diego H. Milone, Leandro E. Di Persia