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» A Framework for Multiple-Instance Learning
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ICASSP
2009
IEEE
16 years 1 months ago
Data-driven lexicon expansion for Mandarin broadcast news and conversation speech recognition
We present a data-driven framework for expanding the lexicon to improve Mandarin broadcast news and conversation speech recognition. The lexicon expansion includes the generation ...
Xin Lei, Wen Wang, Stolcke Stolcke
ICASSP
2009
IEEE
16 years 1 months ago
Nonparametric curve alignment
Congealing is a flexible nonparametric data-driven framework for the joint alignment of data. It has been successfully applied to the joint alignment of binary images of digits, ...
Marwan A. Mattar, Michael G. Ross, Erik G. Learned...
ICDAR
2009
IEEE
16 years 1 months ago
Inductive Logic Programming for Symbol Recognition
In this paper, we make an attempt to use Inductive Logic Programming (ILP) to automatically learn non trivial descriptions of symbols, based on a formal description. This work is ...
K. C. Santosh, Bart Lamiroy, Jean-Philippe Ropers
ACCV
2009
Springer
16 years 1 months ago
Transductive Segmentation of Textured Meshes
This paper addresses the problem of segmenting a textured mesh into objects or object classes, consistently with user-supplied seeds. We view this task as transductive learning and...
Anne-Laure Chauve, Jean-Philippe Pons, Jean-Yves A...
ICANN
2009
Springer
16 years 1 months ago
Using Kernel Basis with Relevance Vector Machine for Feature Selection
This paper presents an application of multiple kernels like Kernel Basis to the Relevance Vector Machine algorithm. The framework of kernel machines has been a source of many works...
Frederic Suard, David Mercier