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» Learning Patterns in Noisy Data: The AQ Approach
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ACL
2011
12 years 11 months ago
From Bilingual Dictionaries to Interlingual Document Representations
Mapping documents into an interlingual representation can help bridge the language barrier of a cross-lingual corpus. Previous approaches use aligned documents as training data to...
Jagadeesh Jagarlamudi, Hal Daumé III, Ragha...
ECAI
2004
Springer
14 years 23 days ago
Piece-Wise Model Fitting Using Local Data Patterns
In this paper we propose a novel classification algorithm that fits models of different complexity on separate regions of the input space. The goal is to achieve a balance betwee...
Ricardo Vilalta, Murali-Krishna Achari, Christoph ...
TNN
2008
105views more  TNN 2008»
13 years 7 months ago
Incremental Learning of Chunk Data for Online Pattern Classification Systems
This paper presents a pattern classification system in which feature extraction and classifier learning are simultaneously carried out not only online but also in one pass where tr...
Seiichi Ozawa, Shaoning Pang, Nikola K. Kasabov
ICIP
2010
IEEE
13 years 5 months ago
A simple, fast and efficient approach to denoisaicking: Joint demosaicking and denoising
In most digital cameras, color images are captured by a sensor overlaid by the Bayer color filter array (CFA). Denoisaicking (joint demosaicking and denoising) consists in reconst...
Laurent Condat
ICANN
2009
Springer
13 years 12 months ago
Learning SVMs from Sloppily Labeled Data
This paper proposes a modelling of Support Vector Machine (SVM) learning to address the problem of learning with sloppy labels. In binary classification, learning with sloppy labe...
Guillaume Stempfel, Liva Ralaivola