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» Temporal sequence processing using recurrent SOM
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JMLR
2002
133views more  JMLR 2002»
13 years 7 months ago
Learning Precise Timing with LSTM Recurrent Networks
The temporal distance between events conveys information essential for numerous sequential tasks such as motor control and rhythm detection. While Hidden Markov Models tend to ign...
Felix A. Gers, Nicol N. Schraudolph, Jürgen S...
ICASSP
2011
IEEE
12 years 11 months ago
Audiovisual classification of vocal outbursts in human conversation using Long-Short-Term Memory networks
We investigate classification of non-linguistic vocalisations with a novel audiovisual approach and Long Short-Term Memory (LSTM) Recurrent Neural Networks as highly successful d...
Florian Eyben, Stavros Petridis, Björn Schull...
BMVC
1998
13 years 8 months ago
Benchmarking of Bootstrap Temporal Stereo using Statistical and Physical Scene Modelling
Temporal stereo vision algorithms can offer improved robustness, however, this can only be delivered after several frames of a stereo image sequence have been processed. We presen...
S. Crossley, Neil A. Thacker, N. Luke Seed
ICIP
2000
IEEE
14 years 9 months ago
Discovering Recurrent Visual Semantics in Consumer Photographs
We present techniques to semi-automatically discover Recurrent Visual Semantics (RVS) -the repetitive appearance of visually similar elements such as objects and scenes- in consum...
Alejandro Jaimes, Ana B. Benitez, Shih-Fu Chang, A...
ICIP
2003
IEEE
14 years 9 months ago
Video caption detection and extraction using temporal information
Video caption detection,and evtraction is an important step for information retrieval in video databases. In this paper, we extract test information in video by fully utilizing th...
Bo Luo, Xiaoou Tang, Jianzhuang Liu, HongJiang Zha...