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KDD
2012
ACM
201views Data Mining» more  KDD 2012»
13 years 8 months ago
Learning from crowds in the presence of schools of thought
Crowdsourcing has recently become popular among machine learning researchers and social scientists as an effective way to collect large-scale experimental data from distributed w...
Yuandong Tian, Jun Zhu
ICWL
2004
Springer
15 years 11 months ago
Learning Algorithms with an Electronic Chalkboard over the Web
This paper describes a system for the animation of algorithms on an electronic chalkboard. The instructor teaching an algorithm can enter data directly through a drawing- the algor...
Margarita Esponda Argüero, Raúl Rojas
FGR
2004
IEEE
167views Biometrics» more  FGR 2004»
15 years 10 months ago
Adaptive Learning of an Accurate Skin-Color Model
Due to variations of lighting conditions, camera hardware settings, and the range of skin coloration among human beings, a pre-defined skin-color model cannot accurately capture t...
Qiang Zhu, Kwang-Ting Cheng, Ching-Tung Wu, Yi-Leh...
172
Voted
CN
2007
149views more  CN 2007»
15 years 6 months ago
Adaptive congestion protocol: A congestion control protocol with learning capability
There is strong evidence that the current implementation of TCP will perform poorly in future high speed networks. To address this problem many congestion control protocols have b...
Marios Lestas, Andreas Pitsillides, Petros A. Ioan...
ENGL
2007
180views more  ENGL 2007»
15 years 6 months ago
Biological Data Mining for Genomic Clustering Using Unsupervised Neural Learning
— The paper aims at designing a scheme for automatic identification of a species from its genome sequence. A set of 64 three-tuple keywords is first generated using the four type...
Shreyas Sen, Seetharam Narasimhan, Amit Konar