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ICIP
2005
IEEE
15 years 4 months ago
Hyperspectral imaging: potential in non-destructive analysis of palimpsests
Palimpsests -twice written manuscripts- are of great interest since they may contain important hidden text underneath the visible one. Hyperspectral imaging may aid the expert to ...
Konstantinos Rapantzikos, Costas Balas
112
Voted
CVPR
2009
IEEE
16 years 6 months ago
A Similarity Measure Between Vector Sequences with Application to Handwritten Word Image Retrieval
This article proposes a novel similarity measure between vector sequences. Recently, a model-based approach was introduced to address this issue. It consists in modeling each se...
José A. Rodríguez-Serrano, Florent P...
ICASSP
2011
IEEE
14 years 2 months ago
Bayesian sensing hidden Markov models for speech recognition
We introduce Bayesian sensing hidden Markov models (BS-HMMs) to represent speech data based on a set of state-dependent basis vectors. By incorporating the prior density of sensin...
George Saon, Jen-Tzung Chien
ESANN
2001
15 years 16 days ago
A divide-and-conquer learning architecture for predicting unknown motion
Time varying environments or model selection problems lead to crucial dilemmas in identification and control science. In this paper, we propose a modular prediction scheme consisti...
Patrice Wira, Jean-Philippe Urban, Julien Gresser
67
Voted
NIPS
1997
15 years 14 days ago
Statistical Models of Conditioning
Conditioning experiments probe the ways that animals make predictions about rewards and punishments and use those predictions to control their behavior. One standard model of cond...
Peter Dayan, Theresa Long