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IJON
2007
184views more  IJON 2007»
13 years 8 months ago
Convex incremental extreme learning machine
Unlike the conventional neural network theories and implementations, Huang et al. [Universal approximation using incremental constructive feedforward networks with random hidden n...
Guang-Bin Huang, Lei Chen
CVPR
2010
IEEE
14 years 4 months ago
Optimal HDR Reconstruction with Linear Digital Cameras
Given a multi-exposure sequence of a scene, our aim is to recover the absolute irradiance falling onto a linear camera sensor. The established approach is to perform a weighted av...
Miguel Granados Velasquez, Boris Ajdin, Michael Wa...
ICML
2009
IEEE
14 years 3 months ago
Sparse higher order conditional random fields for improved sequence labeling
In real sequence labeling tasks, statistics of many higher order features are not sufficient due to the training data sparseness, very few of them are useful. We describe Sparse H...
Xian Qian, Xiaoqian Jiang, Qi Zhang, Xuanjing Huan...
AICT
2008
IEEE
119views Communications» more  AICT 2008»
13 years 8 months ago
Simplification of Frequency Test for Random Number Generation Based on Chi-Square
This paper presents the simplified method of random test suite based on the frequency (block) test. The test is used to check the first property of random numbers which is to have ...
Kruawan Wongpanya, Keattisak Sripimanwat, Kanok Je...
ICB
2007
Springer
79views Biometrics» more  ICB 2007»
14 years 2 months ago
On Some Performance Indices for Biometric Identification System
This paper investigates a new approach to formulate performance indices of biometric system using information theoretic models. The performance indices proposed here (unlike conven...
Jay Bhatnagar, Ajay Kumar