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PCM
2004
Springer
99views Multimedia» more  PCM 2004»
14 years 1 months ago
An Online Learning Framework for Sports Video View Classification
Sports videos have special characteristics such as well-defined video structure, specialized sports syntax, and some canonical view types. In this paper, we proposed an online lear...
Jun Wu, Xian-Sheng Hua, Jianmin Li, Bo Zhang, Hong...
ASAP
2004
IEEE
102views Hardware» more  ASAP 2004»
13 years 11 months ago
A Hierarchical Classification Scheme to Derive Interprocess Communication in Process Networks
The Compaan compiler automatically derives a Process Network (PN) description from an application written in Matlab. The basic element of a PN is a Producer/Consumer (P/C) pair. F...
Alexandru Turjan, Bart Kienhuis, Ed F. Deprettere
HIS
2004
13 years 9 months ago
Adaptive Boosting with Leader based Learners for Classification of Large Handwritten Data
Boosting is a general method for improving the accuracy of a learning algorithm. AdaBoost, short form for Adaptive Boosting method, consists of repeated use of a weak or a base le...
T. Ravindra Babu, M. Narasimha Murty, Vijay K. Agr...
HIS
2004
13 years 9 months ago
K-Ranked Covariance Based Missing Values Estimation for Microarray Data Classification
Microarray data often contains multiple missing genetic expression values that degrade the performance of statistical and machine learning algorithms. This paper presents a K rank...
Muhammad Shoaib B. Sehgal, Iqbal Gondal, Laurence ...
NIPS
2004
13 years 9 months ago
Incremental Algorithms for Hierarchical Classification
We study the problem of hierarchical classification when labels corresponding to partial and/or multiple paths in the underlying taxonomy are allowed. We introduce a new hierarchi...
Nicolò Cesa-Bianchi, Claudio Gentile, Andre...