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MCS
2005
Springer
14 years 2 months ago
Exploiting Class Hierarchies for Knowledge Transfer in Hyperspectral Data
Abstract. Obtaining ground truth for hyperspectral data is an expensive task. In addition, a number of factors cause the spectral signatures of the same class to vary with location...
Suju Rajan, Joydeep Ghosh
AAAI
2010
13 years 10 months ago
Cost-Sensitive Semi-Supervised Support Vector Machine
In this paper, we study cost-sensitive semi-supervised learning where many of the training examples are unlabeled and different misclassification errors are associated with unequa...
Yu-Feng Li, James T. Kwok, Zhi-Hua Zhou
CORR
2010
Springer
66views Education» more  CORR 2010»
13 years 9 months ago
Certifying cost annotations in compilers
We discuss the problem of building a compiler which can lift in a provably correct way pieces of information on the execution cost of the object code to cost annotations on the so...
Roberto M. Amadio, Nicholas Ayache, Yann Ré...
CORR
2007
Springer
98views Education» more  CORR 2007»
13 years 9 months ago
Enrichment of Qualitative Beliefs for Reasoning under Uncertainty
– This paper deals with enriched qualitative belief functions for reasoning under uncertainty and for combining information expressed in natural language through linguistic label...
Xinde Li, Xinhan Huang, Florentin Smarandache, Jea...
ICASSP
2011
IEEE
13 years 20 days ago
Multi-view and multi-objective semi-supervised learning for large vocabulary continuous speech recognition
Current hidden Markov acoustic modeling for large vocabulary continuous speech recognition (LVCSR) relies on the availability of abundant labeled transcriptions. Given that speech...
Xiaodong Cui, Jing Huang, Jen-Tzung Chien