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» Feature Learning for Recognition with Bayesian Networks
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PPSN
1990
Springer
13 years 11 months ago
Feature Construction for Back-Propagation
T h e ease of learning concepts f r o m examples in empirical machine learning depends on the attributes used for describing the training d a t a . We show t h a t decision-tree b...
Selwyn Piramuthu
SAC
2006
ACM
14 years 1 months ago
Facial emotion recognition by adaptive processing of tree structures
We present an emotion recognition system based on a probabilistic approach to adaptive processing of Facial Emotion Tree Structures (FETS). FETS are made up of localized Gabor fea...
Jia-Jun Wong, Siu-Yeung Cho
IJCNN
2000
IEEE
13 years 11 months ago
People Recognition and Pose Estimation in Image Sequences
This paper presents a system which learns from examples to automatically recognize people and estimate their poses in image sequences with the potential application to daily surve...
Chikahito Nakajima, Massimiliano Pontil, Tomaso Po...
EUROSSC
2008
Springer
13 years 9 months ago
Gaussian Process Person Identifier Based on Simple Floor Sensors
Abstract. This paper describes methods and sensor technology used to identify persons from their walking characteristics. We use an array of simple binary switch floor sensors to d...
Jaakko Suutala, Kaori Fujinami, Juha Röning
ICDAR
2011
IEEE
12 years 7 months ago
Subgraph Spotting through Explicit Graph Embedding: An Application to Content Spotting in Graphic Document Images
—We present a method for spotting a subgraph in a graph repository. Subgraph spotting is a very interesting research problem for various application domains where the use of a re...
Muhammad Muzzamil Luqman, Jean-Yves Ramel, Josep L...