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ICANN
2007
Springer
16 years 25 days ago
Multi-dimensional Recurrent Neural Networks
Abstract. Recurrent neural networks (RNNs) have proved effective at one dimensional sequence learning tasks, such as speech and online handwriting recognition. Some of the properti...
Alex Graves, Santiago Fernández, Jürge...
ACSD
2005
IEEE
66views Hardware» more  ACSD 2005»
16 years 9 days ago
Gaining Predictability and Noise Immunity in Global Interconnects
We present a bundled data communication scheme that is robust to crosstalk effects, and to manufacturing and environmental variations. Unlike a data bus, where each receiver alway...
Yinghua Li, Alex Kondratyev, Robert K. Brayton
ICMCS
2005
IEEE
147views Multimedia» more  ICMCS 2005»
16 years 8 days ago
Evaluation of Multiple Cue Head Pose Estimation Algorithms in Natural Environements
Head pose estimation is a research area which has many applications, e.g. in human computer interfaces design or in the analysis of people’s focus-of-attention. The paper addres...
Sileye O. Ba, Jean-Marc Odobez
ICRA
2005
IEEE
156views Robotics» more  ICRA 2005»
16 years 8 days ago
A Hierarchical Multiple-Target Tracking Algorithm for Sensor Networks
Abstract— Multiple-target tracking is a canonical application of sensor networks as it exhibits different aspects of sensor networks such as event detection, sensor information f...
Songhwai Oh, Luca Schenato, Shankar Sastry
171
Voted
EMMCVPR
2005
Springer
16 years 6 days ago
Spatio-temporal Prior Shape Constraint for Level Set Segmentation
Abstract. This paper exposes a novel formulation of prior shape constraint incorporation for the level set segmentation of objects from corrupted images. Applicable to variational ...
Timothée Bailloeul, Véronique Prinet...