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» Pattern Recognition Using Functions of Multiple Instances
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117
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AHS
2007
IEEE
219views Hardware» more  AHS 2007»
15 years 11 months ago
A learning machine for resource-limited adaptive hardware
Machine Learning algorithms allow to create highly adaptable systems, since their functionality only depends on the features of the inputs and the coefficients found during the tr...
Davide Anguita, Alessandro Ghio, Stefano Pischiutt...
179
Voted
IBPRIA
2005
Springer
15 years 10 months ago
Multispectral Image Segmentation by Energy Minimization for Fruit Quality Estimation
Abstract. This article presents the results of an unsupervised segmentation algorithm in multispectral images. The algorithm uses a minimization function which takes into account e...
Adolfo Martínez Usó, Filiberto Pla, ...
133
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TKDE
2008
152views more  TKDE 2008»
15 years 4 months ago
SRDA: An Efficient Algorithm for Large-Scale Discriminant Analysis
Linear Discriminant Analysis (LDA) has been a popular method for extracting features that preserves class separability. The projection functions of LDA are commonly obtained by max...
Deng Cai, Xiaofei He, Jiawei Han
CVPR
2007
IEEE
16 years 6 months ago
An Exemplar Model for Learning Object Classes
We introduce an exemplar model that can learn and generate a region of interest around class instances in a training set, given only a set of images containing the visual class. T...
Ondrej Chum, Andrew Zisserman
MM
2004
ACM
145views Multimedia» more  MM 2004»
15 years 10 months ago
Segmentation and recognition of multi-attribute motion sequences
In this work, we focus on fast and efficient recognition of motions in multi-attribute continuous motion sequences. 3D motion capture data, animation motion data, and sensor data ...
Chuanjun Li, Peng Zhai, Si-Qing Zheng, Balakrishna...