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» Learning from Multiple Annotators with Gaussian Processes
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AVSS
2007
IEEE
15 years 6 months ago
Vehicular traffic density estimation via statistical methods with automated state learning
This paper proposes a novel approach of combining an unsupervised clustering scheme called AutoClass with Hidden Markov Models (HMMs) to determine the traffic density state in a R...
Evan Tan, Jing Chen
IJDET
2010
123views more  IJDET 2010»
14 years 9 months ago
An Adaptive Course Generation Framework
: Existing adaptive e-learning methods are supported by student (user) profiling for capturing student characteristics, and course structuring for organizing learning materials acc...
Frederick W. B. Li, Rynson W. H. Lau, Parthiban Dh...
ICASSP
2009
IEEE
15 years 6 months ago
Impact of novel sources on content-based image and video retrieval
The problem of content-based image and video retrieval with textual queries is often posed as that of visual concept classification, where classifiers for a set of predetermined...
Arnab Ghoshal, Sanjeev Khudanpur, Dietrich Klakow
PVLDB
2008
131views more  PVLDB 2008»
14 years 11 months ago
Learning to create data-integrating queries
The number of potentially-related data resources available for querying -- databases, data warehouses, virtual integrated schemas -continues to grow rapidly. Perhaps no area has s...
Partha Pratim Talukdar, Marie Jacob, Muhammad Salm...
ICASSP
2011
IEEE
14 years 3 months ago
Improving melody extraction using Probabilistic Latent Component Analysis
We propose a new approach for automatic melody extraction from polyphonic audio, based on Probabilistic Latent Component Analysis (PLCA). An audio signal is first divided into vo...
Jinyu Han, Ching-Wei Chen