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PR
2007
165views more  PR 2007»
13 years 7 months ago
A trainable feature extractor for handwritten digit recognition
This article focusses on the problems of feature extraction and the recognition of handwritten digits. A trainable feature extractor based on the LeNet5 convolutional neural netwo...
Fabien Lauer, Ching Y. Suen, Gérard Bloch
ICASSP
2010
IEEE
13 years 6 months ago
Human detection in images via L1-norm Minimization Learning
In recent years, sparse representation originating from signal compressed sensing theory has attracted increasing interest in computer vision research community. However, to our b...
Ran Xu, Baochang Zhang, Qixiang Ye, Jianbin Jiao
IDA
2010
Springer
13 years 6 months ago
A Data-Driven Paradigm to Understand Multimodal Communication in Human-Human and Human-Robot Interaction
Data-driven knowledge discovery is becoming a new trend in various scientific fields. In light of this, the goal of the present paper is to introduce a novel framework to study one...
Chen Yu, Thomas G. Smith, Shohei Hidaka, Matthias ...
IJACTAICIT
2010
200views more  IJACTAICIT 2010»
13 years 5 months ago
An Intelligent Framework for Natural Object Identification in Images
Human superiority over computers in identifying natural objects like clouds, water, grass etc. comes from two capabilities: the capability to maintain a growing knowledge base per...
Aasia Khanum
EJASP
2010
132views more  EJASP 2010»
13 years 3 months ago
Uncovering Transcriptional Regulatory Networks by Sparse Bayesian Factor Model
The problem of uncovering transcriptional regulation by transcription factors (TFs) based on microarray data is considered. A novel Bayesian sparse correlated rectified factor mod...
Jia Meng, Jianqiu Zhang, Yuan (Alan) Qi, Yidong Ch...