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ICML
2006
IEEE
16 years 2 months ago
Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks
Many real-world sequence learning tasks require the prediction of sequences of labels from noisy, unsegmented input data. In speech recognition, for example, an acoustic signal is...
Alex Graves, Faustino J. Gomez, Jürgen Schmid...
ICML
2001
IEEE
16 years 2 months ago
Symmetry in Markov Decision Processes and its Implications for Single Agent and Multiagent Learning
This paper examines the notion of symmetry in Markov decision processes (MDPs). We define symmetry for an MDP and show how it can be exploited for more effective learning in singl...
Martin Zinkevich, Tucker R. Balch
ISBI
2004
IEEE
16 years 2 months ago
A Closed-Form Method for Improving Inter-Subject Coherence in Diffusion Tensor Magnetic Resonance Imaging
A simple method is presented to reduce within-group inter-subject scatter in diffusion tensor magnetic resonance imaging (DT-MRI). By "borrowing strength" across co-regi...
Nicholas Lange, Derek Jones, Carlo Pierpaoli
ISBI
2008
IEEE
16 years 2 months ago
Projection plane processing for sketch-based volume segmentation
Selecting a region of interest (ROI) within unsegmented volume data is one of the fundamental operations in volume data processing and analysis, yet it is difficult to perform the...
Shigeru Owada, Frank Nielsen, Takeo Igarashi, Ryo ...
DCC
2009
IEEE
16 years 2 months ago
An Adaptive Sub-sampling Method for In-memory Compression of Scientific Data
A current challenge in scientific computing is how to curb the growth of simulation datasets without losing valuable information. While wavelet based methods are popular, they req...
Didem Unat, Theodore Hromadka III, Scott B. Baden