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ICML
2009
IEEE
14 years 11 months ago
Online dictionary learning for sparse coding
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
ICASSP
2008
IEEE
14 years 5 months ago
Efficient 4D motion compensated lossless compression of dynamic volumetric medical image data
Dynamic volumetric (four dimensional- 4D) medical images are typically huge in file size and require a vast amount of resources for storage and transmission purposes. In this pape...
Victor Sanchez, Panos Nasiopoulos, Rafeef Abugharb...
ICASSP
2008
IEEE
14 years 5 months ago
An ICA-based multilinear algebra tools for dimensionality reduction in hyperspectral imagery
Dimensionality reduction (DR) is a major issue to improve the efficiency of the classifiers in Hyperspectral images (HSI). Recently, the independent component analysis (ICA) app...
Nadine Renard, Salah Bourennane
CONTEXT
2007
Springer
14 years 5 months ago
Risk Context Effects in Inductive Reasoning: An Experimental and Computational Modeling Study
Mechanisms that underlie the inductive reasoning process in risk contexts are investigated. Experimental results indicate that people rate the same inductive reasoning argument dif...
Kayo Sakamoto, Masanori Nakagawa
SIGIR
2004
ACM
14 years 4 months ago
The document as an ergodic markov chain
In recent years, statistical language models are being proposed as alternative to the vector space model. Viewing documents as language samples introduces the issue of defining a...
Eduard Hoenkamp, Dawei Song